Abstract: The integration of Artificial Intelligence (AI) into medical imaging represents a transformative shift in healthcare, offering significant improvements in diagnostic accuracy, efficiency, and patient outcomes. This paper explores the application of AI technologies in the analysis of medical images, focusing on techniques such as convolutional neural networks (CNNs) and deep learning models. We discuss how these technologies are applied to various imaging modalities, including X-rays, MRIs, and CT scans, to enhance disease detection, image segmentation, and diagnostic (...) support. Additionally, the paper addresses the challenges faced in AI-driven medical imaging, including data quality, model interpretability, and ethical considerations. By examining recent advancements and real-world case studies, this paper provides insights into the current state of AI in medical imaging and its potential future directions. The findings highlight the ongoing evolution of AI technologies and their crucial role in advancing medical diagnostics and treatment strategies. (shrink)

Self-tracking-technologies can serve as a prominent example of how digital technologies put to test established practices, institutions, and structures of medicine and healthcare. While proponents emphasize the potentials, e.g., for individualized healthcare and new research data, opponents stress the risk that these technologies will reinforce gender-related inequalities. -/- While this has been made clear from—often intersectional—feminist perspectives since the introduction of such technologies, we aim to provide a queer-feminist perspective on self-tracking applications in healthcare by analyzing three concrete cases. In (...) this way, we want to show why such a perspective is helpful in assessing self-tracking technologies and how such a perspective might contribute to a queering of healthcare. -/- After a short introduction to self-tracking in healthcare and the corresponding risks of reproducing gender-related inequalities, we introduce queer bioethics as a methodology to examine structural discrimination and marginalization in bioethical research. We apply this framework in the analysis of three exemplary self-tracking applications from the areas of nutrition/fitness, reproductive health, and mental health. In the subsequent discussion of these results against the backdrop of already existing queer-sensitive technologies, we identify an equal access, a subversive design, an inclusive database, and a diversity-sensitive and discriminatory-critical definition of purposes as well as individualized usage possibilities as first possible starting points for a queering of self-tracking applications. Finally, we draw conclusions, how such a critical perspective on self-tracking applications might also contribute to a queering of the healthcare system at a structural level. (shrink)

Applying Modern Monetary Theory to the Philippines: Achieving Economic Balance Through Natural Laws -/- Introduction -/- The Philippines faces persistent economic challenges, including slow GDP growth, high income inequality, inflationary pressures, and overpopulation. Traditional economic policies often focus on austerity, borrowing limits, and foreign investments, but these approaches fail to address the root causes of economic imbalance. -/- Modern Monetary Theory (MMT) offers an alternative by allowing the government to issue money to finance public spending without relying on foreign debt (...) or excessive taxation. However, to prevent inflation and ensure long-term stability, government spending must be directed toward productive investments. This aligns with my universal formula, which is based on the universal law of balance in nature—ensuring that all systems, including economic ones, function without defects. -/- By integrating MMT with GDP growth, GDP per capita, the Gini coefficient (income equality), population regulation, and good governance, the Philippines can achieve sustainable economic progress while maintaining balance. -/- The Role of a Good and Non-Corrupt Government in Implementing MMT -/- MMT gives governments the power to create money, making it an incredibly powerful tool—but also a dangerous one if misused. A corrupt government can misallocate funds, cause hyperinflation, and worsen inequality. Therefore, strong leadership, transparency, and accountability are essential for MMT to work. -/- Eliminating corruption ensures that newly created money is invested in productive sectors rather than being stolen or wasted. -/- Strict financial oversight and independent institutions must monitor government spending. -/- A well-structured economic plan, free from political interests, must be followed to ensure MMT benefits all Filipinos, not just the elite. -/- If MMT is implemented by a corrupt government, it will only lead to inflation, economic collapse, and further inequality. The law of karma teaches that every action has consequences—if government spending is abused, the entire economy will suffer. -/- Using MMT to Increase the Philippines’ GDP Without Inflation -/- 1. Infrastructure Development -/- The Philippines suffers from poor infrastructure, leading to high transportation and electricity costs. Government investment in roads, ports, and energy projects would improve economic efficiency, reducing production costs and increasing business competitiveness. -/- The government can print money under MMT to fund major infrastructure projects, provided the projects enhance productivity. -/- Improved infrastructure will increase GDP by facilitating trade, reducing delays, and boosting industrial growth. -/- With proper planning, this investment will not cause inflation because it adds real value to the economy. -/- However, for infrastructure spending to be effective, the government must eliminate corruption in project implementation. Ghost projects, overpricing, and political kickbacks will waste public money and increase inflation without creating real economic value. -/- 2. Investing in Renewable Energy -/- The Philippines relies heavily on imported fossil fuels, making it vulnerable to price fluctuations. A shift toward solar, wind, and geothermal energy would: -/- Reduce long-term electricity costs, helping businesses expand without raising prices. -/- Make the country energy independent, lowering the need for foreign currency reserves. -/- Increase GDP by creating green energy jobs and technological innovations. -/- A good government will prioritize long-term energy security over short-term political interests. Corrupt officials, however, may block renewable energy projects in favor of profit-driven deals with fossil fuel industries, preventing the country from achieving energy independence. -/- 3. Expanding Manufacturing and Industrialization -/- The Philippine economy is heavily dependent on services (such as BPOs) and overseas remittances. To create long-term stability, the country must expand its manufacturing sector. -/- Government spending should prioritize local industries, such as electronics, semiconductors, and agribusiness processing. -/- Subsidies and incentives should be given to businesses that create jobs and produce high-value goods. -/- Export-oriented manufacturing would increase GDP while keeping money circulation within productive sectors, preventing inflation. -/- A corrupt government, however, may award subsidies and contracts based on political favors rather than economic merit, leading to inefficiency and wasted resources. A good and competent government will ensure that industrial policies are based on merit, efficiency, and long-term economic benefits. -/- 4. Research, Innovation, and Digital Transformation -/- Government investment in science, technology, and artificial intelligence (AI) would drive sustainable economic growth. -/- A national AI and automation strategy can improve industries such as agriculture, logistics, and healthcare, leading to higher GDP. -/- Government-funded research and technology parks can support Filipino startups and entrepreneurs. -/- This will help the country move from a consumer-driven economy to a technology and knowledge-based economy, increasing long-term wealth. -/- Without strong governance and anti-corruption measures, however, research funding may be misused, misallocated, or given to unqualified individuals. The universal law of balance requires that public resources be managed efficiently and fairly to maximize their benefits. -/- GDP Per Capita: Ensuring Growth Benefits Every Filipino -/- While GDP growth is important, it must translate to real improvements in people’s lives. A high GDP with a rapidly growing population leads to a lower GDP per capita, keeping the majority poor. -/- Government policies must regulate population growth through education and family planning. -/- Higher GDP per capita ensures that public investments in healthcare, education, and housing can meet the needs of citizens. -/- A well-balanced population ensures that economic growth does not lead to overconsumption of resources. -/- The Gini Coefficient: Reducing Income Inequality in the Philippines -/- The Philippines has one of the highest income inequality rates in Southeast Asia. The Gini coefficient reveals that wealth is concentrated in the hands of a few, while many struggle to survive. -/- MMT can be used to: -/- Fund free quality education and vocational training, allowing Filipinos to get better-paying jobs. -/- Provide universal healthcare, ensuring that people are not trapped in poverty due to medical expenses. -/- Invest in affordable housing and social safety nets for vulnerable populations. -/- Without addressing inequality, economic growth will only benefit the elite, leading to social unrest and instability. However, corrupt leaders often resist wealth redistribution because they benefit from maintaining economic inequality. A non-corrupt government is necessary to ensure fair wealth distribution. -/- Ensuring MMT Aligns with the Universal Law of Balance -/- The Philippines must apply MMT carefully to prevent economic imbalance. Simply printing money without strategic allocation will lead to inflation and instability. -/- Strict anti-corruption policies must be enforced to ensure MMT is used only for productive investments. -/- Public funds should be managed transparently, with regular audits and independent oversight. -/- Government leaders must be held accountable for economic decisions, ensuring they act in the best interest of all Filipinos. -/- A corrupt and incompetent government will lead to economic collapse under MMT, while a good, disciplined, and visionary government can use it to create lasting prosperity and stability. -/- Conclusion -/- Modern Monetary Theory, when properly applied, aligns with the universal law of balance in nature by ensuring that economic systems function without defects. The Philippines can use MMT to: -/- Increase GDP by investing in infrastructure, renewable energy, and industrialization. -/- Ensure GDP per capita growth by regulating population and creating sustainable jobs. -/- Reduce income inequality through education, healthcare, and wealth redistribution. -/- Maintain economic balance by applying feedback mechanisms such as taxation, productivity growth, and responsible government spending. -/- However, MMT requires a government that is competent, transparent, and corruption-free. Without ethical leadership, MMT will be abused and lead to inflation, economic collapse, and inequality. The law of balance demands that all systems—including governance—function properly to achieve economic stability. -/- By ensuring good governance, economic discipline, and strategic spending, the Philippines can use MMT to build a just, prosperous, and balanced society. -/- . (shrink)

-/- Policy regulations of ethically controversial genetic technologies should, on the one hand, be based on ethical principles. On the other hand, they should be socially acceptable to ensure implementation. In addition, they should align with ethical theory. Yet to date we lack a reliable and valid scale to measure the relevant ethical judgements in laypeople. We target this lacuna. -/- We developed a scale based on ethical principles to elicit lay judgments: the Genetic Technologies Questionnaire (GTQ). In two pilot (...) studies and a pre-registered main study, we validated the scale in a representative sample of the US population. -/- The final version of the scale contains 20 items but remains highly reliable even when reduced to five. It also predicts behaviour; for example, ethical judgments as measured by the GTQ predicted hypothetical donations and grocery shopping. In addition, the GTQ may be of interest to policymakers and ethicists because it reveals coherent and ethically justified judgments in laypeople. For instance, the GTQ indicates that ethical judgments are sensitive to possible benefits and harms (in line with utilitarian ethics), but also to ethical principles such as the value of consent-autonomy. -/- In conclusion, the GTQ can be recommended for research in both experimental psychology and applied ethics, as well as a tool for ethically and empirically informed policymaking. (shrink)

Despite the recent advances in information and communication technology that have increased our ability to store and circulate information, the task of ensuring that the right sorts of information gets to the right sorts of people remains. We argue that the many efforts underway to develop efficient means for sharing information across healthcare systems and organizations would benefit from a careful analysis of human action in healthcare organizations. This in turn requires that the management of information and knowledge within (...) healthcare organizations be combined with models of resources and processes of patient care that are based on a general ontology of social interaction. The Health Level 7 (HL7) is one of several ANSI-accredited Standards Developing Organizations operating in the healthcare arena. HL7 has advanced a widely used messaging standard that enables healthcare applications to exchange clinical and administrative data in digital form. HL7 focuses on the interface requirements of the entire healthcare system and not exclusively on the requirements of one area of healthcare such as pharmacy, medical devices, imaging or insurance transactions. This has inspired the development of a powerful abstract model of patient care called the Reference Information Model (RIM). The present paper begins with an overview of the core classes of the HL7 (Version 3) RIM and a brief discussion of its “actcentered” view of healthcare. Central to this account is what is called the life cycle of events. A clinical action may progress from defined, through planned and ordered, to executed. These modalities of an action are represented as the mood of the act. We then outline the basis of an ontology of organizations, starting from the theory of speech Acts, and apply this ontology to the HL7 RIM. Special attention is given to the sorts of preconditions that must be satisfied for the successful performance of a speech act and to the sorts of entities to which speech acts give rise (e.g. obligations, claims, commitments, etc.). Finally we draw conclusions for the efficient communication and management of medical information and knowledge within and between healthcare organizations, paying special attention to the role that medical documents play in such organizations. (shrink)

This is a protocol for a Cochrane Review (Intervention). The objectives are as follows: -/- The main aim of this review will be to assess the effects of changing practitioner empathy or patient expectations for all conditions. The main objective is to conduct a systematic review of randomised trials where the intervention involves manipulating either (a) practitioner empathy or (b) patient expectations, or (c) both.

We present the details of a methodology for quality assurance in large medical terminologies and describe three algorithms that can help terminology developers and users to identify potential mistakes. The methodology is based in part on linguistic criteria and in part on logical and ontological principles governing sound classifications. We conclude by outlining the results of applying the methodology in the form of a taxonomy different types of errors and potential errors detected in SNOMED-CT.

The advance of scientific approaches to life has recorded a plethora of successes as well as failures. Man being at the center of its experiment is tossed toe and fro by the result of its inquiry. Predictions are that in the nearest time, humanity might be living absolutely under the directives of Technology based on Artificial intelligence. At present, Technology based on Artificial Intelligence is quickly finding its way into various areas of life including health and social services. (...) This spread and or interplay connotes the relinquishing of health responsibilities from man to sensor technology as well as dependency on the data and result of this technology. This effort questions this unethical dependency as well as raises moral issues associated with the use of Technology base on artificial intelligence on psychiatric patient. It dabbles into medical values such as; autonomy of the patient cum consent, Kantian universal principle and its implication to implementing the universal usage of technology in mental health care services, and so on. The work of Patricia A. Arean (2016) titled Mobile Technology for Mental Health Assessment gave an in-depth analysis of the available approaches, doting advantages of sensor technology on psychiatric patient. The paper applied the analytic, descriptive and prescriptive method of philosophy to achieve its objective. To this end, it is in the view of this work imperative for the mental-medical community to consider reflectively these issues and the philosophic recommendations provided herein. (shrink)

PrEP (Pre-Exposure Prophylaxis) is a relatively new drug-based HIV prevention technique and an important means to lower the HIV risk of gay men who are especially vulnerable to HIV. From the perspective of biopolitics, PrEP inscribes itself in a larger trend of medicalization and the rise of pharmapower. This article reconstructs and evaluates contemporary literature on biopolitical theory as it applies to PrEP, by bringing it in a dialogue with a mapping of the political debate on PrEP. As PrEP changes (...) sexual norms and subjectification, for example condom use and its meaning for gay subjectivity, it is highly contested. The article shows that the debate on PrEP can be best described with the concepts ‘sexual-somatic ethics’ and ‘democratic biopolitics’, which I develop based on the biopolitical approach of Nikolas Rose and Paul Rabinow. In contrast, interpretations of PrEP which are following governmentality studies or Italian Theory amount to either farfetched or trivial positions on PrEP, when seen in light of the political debate. Furthermore, the article is a contribution to the scholarship on gay subjectivity, highlighting how homophobia and homonormativity haunts gay sex even in liberal environments, and how PrEP can serve as an entry point for the destigmatization of gay sexuality and transformation of gay subjectivity. ‘Biopolitical democratization’ entails making explicit how medical technology and health care relates to sexual subjectification and ethics, to strengthen the voice of (potential) PrEP users in health politics, and to renegotiate the profit and power of Big Pharma. (shrink)

PrEP (Pre-Exposure Prophylaxis) is a relatively new drug-based HIV prevention technique and an important means to lower the HIV risk of gay men who are especially vulnerable to HIV. From the perspective of biopolitics, PrEP inscribes itself in a larger trend of medicalization and the rise of pharmapower. This article reconstructs and evaluates contemporary literature on biopolitical theory as it applies to PrEP, by bringing it in a dialogue with a mapping of the political debate on PrEP. As PrEP changes (...) sexual norms and subjectification, for example condom use and its meaning for gay subjectivity, it is highly contested. The article shows that the debate on PrEP can be best described with the concepts ‘sexual-somatic ethics’ and ‘democratic biopolitics’, which I develop based on the biopolitical approach of Nikolas Rose and Paul Rabinow. In contrast, interpretations of PrEP which are following governmentality studies or Italian Theory amount to either farfetched or trivial positions on PrEP, when seen in light of the political debate. Furthermore, the article is a contribution to the scholarship on gay subjectivity, highlighting how homophobia and homonormativity haunts gay sex even in liberal environments, and how PrEP can serve as an entry point for the destigmatization of gay sexuality and transformation of gay subjectivity. ‘Biopolitical democratization’ entails making explicit how medical technology and health care relates to sexual subjectification and ethics, to strengthen the voice of (potential) PrEP users in health politics, and to renegotiate the profit and power of Big Pharma. (shrink)

The World’s Leading Research and Development Institutions and Companies -/- Introduction -/- Research and Development (R&D) is the backbone of global innovation, driving technological progress, economic growth, and scientific discoveries. Across the world, top institutions and corporations invest billions of dollars into R&D to push the boundaries of human knowledge and create groundbreaking technologies. This essay explores the most influential research institutions and companies shaping the future through their contributions in science, engineering, medicine, and technology. -/- The Role of (...) Research Institutions in Global Innovation -/- Research institutions play a crucial role in advancing fundamental and applied sciences. Many of these institutions are publicly funded universities and government research agencies that focus on a wide range of disciplines, from medicine and engineering to artificial intelligence and space exploration. -/- 1. Leading Research Institutions -/- Some of the most prestigious research institutions include: -/- National Institutes of Health (NIH) – USA: The primary agency of the U.S. government responsible for biomedical and public health research. -/- National Aeronautics and Space Administration (NASA) – USA: A global leader in aerospace and space exploration, NASA continues to innovate in space technology and planetary science. -/- Centre National de la Recherche Scientifique (CNRS) – France: The largest governmental research organization in France, covering all scientific disciplines. -/- Max Planck Society – Germany: A network of research institutes in Germany, known for excellence in science and technology. -/- Chinese Academy of Sciences (CAS) – China: China’s premier research institution focuses on science and technology innovation across various fields. -/- Harvard University – USA: Leads in biomedical research, social sciences, and humanities. -/- Massachusetts Institute of Technology (MIT) – USA: At the forefront of engineering, robotics, artificial intelligence, and quantum computing research. -/- Stanford University – USA: Known for its deep ties to Silicon Valley, Stanford plays a key role in tech innovation. -/- University of Oxford & University of Cambridge – UK: Both institutions are among the oldest and most respected in the world, conducting high-impact research in medicine, engineering, and the humanities. -/- Swiss Federal Institute of Technology Zurich (ETH Zurich) – Switzerland: Excels in engineering and natural sciences research. -/- University of Tokyo – Japan: Japan’s leading university, known for its research in science and technology. -/- California Institute of Technology (Caltech) – USA: A leader in space science and physics. -/- Imperial College London – UK: Specializes in engineering, medical, and business research. -/- University of Toronto – Canada: A top institution in AI, robotics, and engineering. -/- 2. Engineering and Technology Research Leaders -/- Engineering research institutions contribute to infrastructure, automation, and digital transformation. Some of the most prominent ones include: -/- University of California, Berkeley – USA: Known for its research in engineering, computer science, and environmental science. -/- University of Pennsylvania – USA: Invests in innovative engineering projects. -/- University of Michigan – USA: Known for technological advancements in multiple fields. -/- Swiss Federal Institute of Technology Lausanne (EPFL) – Switzerland: Excels in engineering and digital research. -/- Tsinghua University – China: A leader in AI, renewable energy, and industrial automation research. -/- The Role of Private Companies in Research and Development -/- Private corporations play a major role in R&D, investing heavily in emerging technologies, pharmaceuticals, consumer electronics, and industrial innovations. Many of the world’s biggest companies spend billions to maintain leadership in their respective fields. -/- 1. Leading Technology Companies in R&D -/- Amazon ($73.2B in R&D spending, 2022): Focuses on cloud computing, AI, logistics, and automation. -/- Alphabet (Google) ($39.5B in R&D, 2022): Invests in AI, quantum computing, and search algorithms. -/- Meta (Facebook) ($35.3B in R&D, 2022): Focuses on AI, VR, and the Metaverse. -/- Apple ($27.7B in R&D, 2022): Leads in consumer electronics and semiconductor technology. -/- Microsoft ($26.6B in R&D, 2022): Invests in AI, cloud computing, and software innovation. -/- 2. Engineering and Industrial Companies in R&D -/- Volkswagen ($19.88B in R&D, 2022): A leader in automotive engineering and electric vehicles. -/- Samsung ($19.29B in R&D, 2022): Develops advanced semiconductors and electronics. -/- Intel ($17.53B in R&D, 2022): Focuses on microprocessors and AI hardware. -/- Huawei ($24B in R&D, 2022): Leads in telecommunications and 5G development. -/- Siemens – Germany: A global leader in industrial automation, medical technology, and smart infrastructure. -/- Nokia – Finland: Focuses on telecommunications infrastructure and technology development. -/- Sony – Japan: Invests in consumer electronics, gaming, and entertainment technologies. -/- Boeing – USA: Develops aerospace technology, defense systems, and commercial aircraft innovations. -/- General Electric (GE) – USA: Focuses on energy, aviation, and industrial automation R&D. -/- 3. Pharmaceutical and Biotech Research Leaders -/- Roche ($14.72B in R&D, 2022): A leading pharmaceutical company specializing in diagnostics and biotech innovations. -/- Pfizer: Known for vaccine development, including the COVID-19 vaccine. -/- Moderna: A pioneer in mRNA technology for medical treatments. -/- Johnson & Johnson: Invests heavily in medical devices and pharmaceuticals. -/- Bristol-Myers Squibb – USA: Focuses on biopharmaceutical research, including immunology and oncology. -/- AstraZeneca – UK/Sweden: Invests in pharmaceutical research, particularly in oncology and cardiovascular diseases. -/- The Impact of R&D on Society and the Future -/- The advancements driven by R&D have a profound impact on global society. Some of the most significant areas of innovation include: -/- Healthcare: Research in biotechnology, gene therapy, and medical AI is revolutionizing healthcare, leading to personalized medicine and new treatments for previously incurable diseases. -/- Artificial Intelligence: AI research in institutions and companies is driving automation, machine learning, and deep learning applications. -/- Sustainable Energy: Engineering research is focusing on renewable energy, electric vehicles, and smart grid technologies to combat climate change. -/- Space Exploration: Organizations like NASA, SpaceX, and ESA are expanding human exploration beyond Earth. -/- Telecommunications: Companies like Huawei, Nokia, and Qualcomm are leading the development of 5G and future wireless communication technologies. -/- Automotive Industry: Electric vehicles, hydrogen fuel cells, and autonomous driving are key research areas for companies like Tesla, Volkswagen, and Toyota. -/- Conclusion -/- The world’s leading R&D institutions and companies are shaping the future through their groundbreaking work in science, engineering, medicine, and technology. Universities and research centers provide the foundation for discovery, while corporations drive commercial applications of these innovations. As investments in R&D continue to grow, humanity will witness even greater advancements in fields such as artificial intelligence, biotechnology, and space exploration, ultimately improving lives and pushing the boundaries of what is possible. -/- . (shrink)

Modern health care relies extensively on the use of technologies for assessing and treating patients, so it is important to be certain that health care technologies perform their professed functions in an effective and safe manner. Philosophers of technology have developed methods to assign and evaluate the functions of technological products, the major elements of which are described in the ICE theory. This paper questions whether the standard of evidence advocated by the ICE theory is adequate for ascribing and (...) assessing technologies employed in health care. The paper proposes that the general problem with the standard of evidence embodied in the ICE theory is too permissive for assessing medical technologies, in that it does not take into account the relative benefit and harm of medical technologies in ensuring safe functional performance in patients. The paper illustrates how evidence-based medicine has demonstrated the value of clinical research methods, including observational studies, randomized and non-randomized clinical trials, and formal techniques, such as meta-analysis, to measure therapeutic effectiveness. I argue, therefore, that evidence from clinical research studies should take precedence over the testimonial evidence and other types of non-clinical evidence, in providing justification for health technologies. (shrink)

There is an ongoing increase in the use of mobile health technologies that patients can use to monitor health-related outcomes and behaviours. While the dominant narrative around mHealth focuses on patient empowerment, there is potential for mHealth to fit into a growing push for patients to take personal responsibility for their health. I call the first of these uses ‘medical monitoring’, and the second ‘personal health surveillance’. After outlining two problems which the use of mHealth might seem to enable (...) us to overcome—fairness of burdens and reliance on self-reporting—I note that these problems would only really be solved by unacceptably comprehensive forms of personal health surveillance which applies to all of us at all times. A more plausible model is to use personal health surveillance as a last resort for patients who would otherwise independently qualify for responsibility-based penalties. However, I note that there are still a number of ethical and practical problems that such a policy would need to overcome. The prospects of mHealth enabling a fair, genuinely cost-saving policy of patient responsibility are slim. (shrink)

With the progress of artificial intelligence, the digitalization of the lifeworld, and the reduction of the mind to neuronal processes, the human being appears more and more as a product of data and algorithms. Thus, we conceive ourselves “in the image of our machines,” and conversely, we elevate our machines and our brains to new subjects. At the same time, demands for an enhancement of human nature culminate in transhumanist visions of taking human evolution to a new stage. Against this (...) self-reification of the human being, the present book defends a humanism of embodiment: our corporeality, vitality, and embodied freedom are the foundations of a self-determined existence, which uses the new technologies only as means instead of submitting to them. The book offers an array of interventions directed against a reductionist naturalism in various areas of science and society. As an alternative, it offers an embodied and enactive account of the human person: we are neither pure minds nor brains, but primarily embodied, living beings in relation with others. This general concept is applied to issues such as artificial intelligence (AI), transhumanism and enhancement, virtual reality, neuroscience, embodied freedom, psychiatry, and finally to the accelerating dynamics of current society which lead to an increasing disembodiment of our everyday life. The book thus applies cutting-edge concepts of embodiment and enactivism to current scientific, technological, and cultural tendencies that will crucially influence our society’s development in the twenty-first century. (shrink)

Nowadays, remote monitoring systems have developed gradually to respond for particular needs in healthcare sector, which is an essential pillar in the modern concept of smart living, we propose a smart health monitoring system to monitor patient health conditions, as a smart healthcare system based on the widely spread and evolved technologies. Statistics show that severe Falls, hypertensive heart disease and blood pressure are risk factors for high death rate. To decrease it a preventive measure should be applied providing (...) a real-time health monitoring system, to save patients life at acceptable time. The objectives of this project are to provide an effective system model that will track, trace, and monitor patient’s movement, location, vital readings like heartbeat pulses, body temperature in order to provide efficient medical services in time. In proposed system data will be captured using sensors and compared with a predefined threshold. After processing it will send the Message for support to Relatives/Caretakers which will contain the Location, Heartbeat Values and Body temperature. (shrink)

This volume bridges contemporary philosophical conceptions of risk and responsibility and offers an extensive examination of the topic. It shows that risk and responsibility combine in ways that give rise to new philosophical questions and problems. Philosophical interest in the relationship between risk and responsibility continues to rise, due in no small part due to environmental crises, emerging technologies, legal developments, and new medical advances. Despite such interest, scholars are just now working out how to conceive of the links (...) between risk and responsibility, the implications that risks may have to conceptions of responsibility (and vice versa), as well as how such theorizing might play out in applied cases. With contributions from leading scholars, this volume brings together new work examining the interplay between risk and responsibility, exploring its varied philosophical aspects and applications to contemporary issues in law, bioethics, technology, and environmental ethics. Risk and Responsibility in Context will be of interest to philosophers working in ethics, bioethics, philosophy of law, and philosophy of technology, as well as scholars and practitioners in law, health and science management, public policy, and environmental studies. (shrink)

Fetal reduction is the practice of reducing the number of fetuses in a multiple pregnancy, such as quadruplets, to a twin or singleton pregnancy. Use of assisted reproductive technologies increases the likelihood of multiple pregnancies, and many fetal reductions are done after in vitro fertilisation and embryo transfer, either because of social or health-related reasons. In this paper, I apply Joe Horton’s all or nothing problem to the ethics of fetal reduction in the case of a twin pregnancy. I argue (...) that in the case of a twin pregnancy, there are two intuitively plausible claims: abortion is morally permissible, and it is morally wrong to abort just one of the fetuses. But since we should choose morally permissible acts rather than impermissible ones, the two claims lead to another highly implausible claim: the woman ought to abort both fetuses rather than only one. Yet, this does not seem right. A plausible moral theory cannot advocate such a pro-death view. Or can it? I suggest ways to solve this problem and draw implications for each solution. There are no data in this work. (shrink)

Solving the Turbulence Problem in Physics Using the Universal Formula -/- By Angelito Malicse -/- Introduction -/- Turbulence remains one of the greatest unsolved problems in physics. It is a chaotic, unpredictable phenomenon observed in fluid dynamics, affecting airflow over aircraft wings, ocean currents, wind energy systems, and even blood flow in the human body. Despite the well-established Navier-Stokes equations governing fluid motion, turbulence remains difficult to fully predict and control due to its inherent complexity. -/- In this essay, I (...) will demonstrate how my universal formula, based on three fundamental laws of nature, provides an exact solution to the turbulence problem. By applying these laws, we can achieve a deeper understanding of turbulence, allowing for more effective prediction, mitigation, and control in various real-world applications. -/- Understanding Turbulence in Light of the Universal Formula -/- Turbulence is a manifestation of complex interactions within a system. According to my universal formula, all systems must follow natural laws governing balance, causality, and feedback mechanisms. Let us analyze turbulence through the lens of these principles. -/- 1. The Law of Karma: Cause, Effect, and Systemic Integrity -/- The first law in my universal formula is the Law of Karma, which extends beyond the traditional idea of cause and effect to encompass the principle of systemic integrity. A system must be free from defects or errors to function properly. If turbulence occurs, it indicates an imbalance or defect within the system. -/- In fluid dynamics, turbulence arises when the cause (flow conditions) leads to an unstable effect (chaotic motion). This imbalance can be seen in: -/- Aircraft aerodynamics, where airflow disruptions create drag and instability. -/- Wind turbines, where turbulent wind patterns reduce energy efficiency. -/- Maritime navigation, where water turbulence increases resistance and fuel consumption. -/- Applying the Law of Karma, turbulence can be controlled by designing systems that minimize defects, ensuring smooth energy transfer within the flow. AI-driven optimization can detect turbulence before it fully develops, correcting imbalances through real-time adjustments. -/- 2. The Law of Balance in Nature -/- The second law states that all natural systems seek balance. Turbulence arises when the energy distribution in a fluid system becomes uneven, disrupting the balance. This is seen in: -/- Boundary layers on aircraft wings, where pressure imbalances lead to turbulence. -/- Ocean currents, where temperature and salinity differences create unstable vortices. -/- To control turbulence, we must restore balance in the system. This can be achieved through: -/- Dynamic flow control, using AI to adjust surfaces (such as aircraft flaps or turbine blades) in real time. -/- Energy redistribution, ensuring fluid motion remains stable by adjusting velocity gradients or temperature differences. -/- Feedback-based corrections, applying intelligent algorithms that predict and counteract turbulence. -/- By harmonizing energy distribution, we can prevent turbulence from escalating, bringing the system back into natural equilibrium. -/- 3. The Law of Feedback Regulation -/- The third law states that all systems operate through feedback mechanisms. Turbulence, despite appearing chaotic, follows a pattern that can be measured, analyzed, and corrected through continuous feedback. -/- Birds adjust their wing angles dynamically to minimize turbulence, an example of natural feedback control. -/- Fish use their fins to counteract water turbulence, stabilizing their movement. -/- AI systems can mimic these natural mechanisms to adjust airflow, ship navigation, or wind turbine performance. -/- Applying the Law of Feedback Regulation, we can create AI-driven turbulence control systems that: -/- Predict turbulence using real-time sensor data. -/- Adjust system parameters dynamically to reduce turbulence intensity. -/- Continuously learn and improve based on new turbulence patterns. -/- This approach follows nature’s own strategy for stability, aligning technology with fundamental natural principles. -/- Applying the Universal Formula to Solve Turbulence -/- By integrating the three universal laws, we can develop a Unified AI-Driven Turbulence Control System applicable to multiple fields: -/- ✅ Aviation: AI-based wing and engine adjustments to minimize drag. ✅ Maritime Transport: Smart hull designs to reduce water resistance. ✅ Wind Energy: Adaptive wind turbine blades for optimal efficiency. ✅ Medical Applications: AI-assisted blood flow regulation to prevent clot formation. -/- This system ensures real-time adaptation, aligning human technology with nature’s fundamental laws. -/- Conclusion -/- The turbulence problem in physics, long considered unsolvable, is fundamentally a problem of imbalance, defective systems, and insufficient feedback control. By applying my universal formula, which follows the natural laws of karma (causality), balance, and feedback, we can fully understand, predict, and control turbulence in all systems. -/- Through AI-driven optimization, dynamic corrections, and harmonizing energy flow, we can finally resolve turbulence across aviation, maritime, wind energy, and even biological systems. My universal formula provides the exact and only solution to this problem, proving that all complex phenomena in nature can be understood through fundamental natural laws. -/- By implementing these principles, we take a step toward a future where turbulence is no longer an obstacle, but a controlled phenomenon guided by nature’s own balance. -/- . (shrink)

In 1966 Gene Roddenberry, then a relatively unknown TV writer, created what was to become a cultural sensation. From cell phones and tablets, to MRI machines and medical jet injectors, Star Trek has undoubtedly anticipated much of the technology that we take for granted today. Moreover, the disagreements, fights and jokes between Captain Kirk (William Shatner), Dr Leonard ‘Bones’ McCoy (DeForest Kelley) and Mr Spock (Leonard Nimoy) were expertly crafted for dramatic impact. But I’m not writing this to (...) confess to you my obsessive infatuation with the Star Trek universe. Instead I want to discuss how the beliefs and practices of Vulcans like Spock are similar to those of the Stoic school of philosophy. (shrink)

Personal Health Monitoring (PHM) uses electronic devices which monitor and record health-related data outside a hospital, usually within the home. This paper examines the ethical issues raised by PHM. Eight themes describing the ethical implications of PHM are identified through a review of 68 academic articles concerning PHM. The identified themes include privacy, autonomy, obtrusiveness and visibility, stigma and identity, medicalisation, social isolation, delivery of care, and safety and technological need. The issues around each of these are discussed. The system (...) / lifeworld perspective of Habermas is applied to develop an understanding of the role of PHMs as mediators of communication between the institutional and the domestic environment. Furthermore, links are established between the ethical issues to demonstrate that the ethics of PHM involves a complex network of ethical interactions. The paper extends the discussion of the critical effect PHMs have on the patient’s identity and concludes that a holistic understanding of the ethical issues surrounding PHMs will help both researchers and practitioners in developing effective PHM implementations. (shrink)

The need for innovative development of healthcare institutions is determined by the necessity to increase the efficiency of organizational processes based on the formation of new models of cooperation, which will make it possible to get access to new technologies and knowledge. The goal of the study is to determine the parameters of the impact of innovative open cooperation strategy and the strategy of innovative closed cooperation of healthcare institutions on the effectiveness of their organizational structure in the context of (...) dissemination and the use of knowledge. Simulation modeling was applied to generate the most effective organizational management structure in the context of innovative cooperation and knowledge exchange within the organizational processes “Inside-out” and “Inside-in”. It is substantiated that the strategies of innovative cooperation “Open Innovation/Closed Innovation” have a significant impact on the organizational structure of management of healthcare institutions in terms of the “degree of centralization” (Dci), “degree of mediation” (Dii), and “degree of centralization of powers” (Dpi). The values of the selected criteria range from 25,52% to 61,50% in the case of Dii, and from 34,53% to 52,63% in the case of Dci, which indicates a higher efficiency of organizational knowledge exchange processes in healthcare institutions, which adhere to the Open Innovation strategy of innovative cooperation. Therefore, there are significant differences in the effectiveness of the management’s organizational structure depending on the degree of openness of innovative cooperation of healthcare institutions. The strategy of innovative openness allows increasing the number and quality of connections in the context of knowledge exchange between the subjects (actors, agents) of the organizational structure (in a broad sense, considering internal and external levels of externality) of healthcare institutions, regardless of the distance between them and the level of similarity. (shrink)

The Holistic Governance Model (HGM): A Blueprint for the Future -/- Introduction -/- Governments today face increasing challenges, from economic instability and climate change to corruption and social inequality. No single government system has fully solved these issues, but by integrating the best aspects of existing models, we can create an optimal governance system. -/- The Holistic Governance Model (HGM) is a hybrid system that combines elements from Social Democracy, Technocracy, Semi-Direct Democracy, China’s Whole-Process People’s Democracy, and the Modified Westminster (...) System. It leverages AI-driven policy-making, technocratic expertise, direct citizen participation, and long-term national planning to create a balanced, efficient, and just government system. -/- 1. Core Foundations of the Holistic Governance Model -/- The HGM is built on six fundamental pillars, ensuring that governance is efficient, democratic, and sustainable. -/- 1.1. Economic System: A Hybrid of Capitalism and State Planning -/- Inspired by: Singapore (Technocracy), China (State-Controlled Development), Nordic Model (Social Welfare), and Switzerland (Financial Stability) ✅ Key Industries Under State Control: The government regulates healthcare, energy, and transportation while allowing free-market innovation. ✅ Smart Capitalism: Entrepreneurs and businesses thrive, but AI-driven economic planning ensures fair wealth distribution. ✅ Universal Basic Assets (UBA): Instead of universal basic income (UBI), citizens receive free housing, education, and healthcare, ensuring financial security. ✅ AI-Assisted Economy: AI predicts recessions, optimizes budgets, and prevents financial crises. -/- 1.2. Political System: A Dynamic Semi-Direct Democracy -/- Inspired by: Switzerland (Direct Democracy), Westminster System (Parliament), and Singapore (Meritocratic Leadership) ✅ Two-Tier Voting System: -/- General Elections: Citizens vote for representatives every 4-5 years. -/- National Referendums: Citizens directly vote on major policies twice a year. ✅ Technocratic Advisory Board (TAB): A non-political panel of scientists, economists, and AI experts advises the government. ✅ Decentralized Local Governance: Cities and regions have autonomy while aligning with national laws. -/- 1.3. Education & Human Development: AI-Powered Lifelong Learning -/- Inspired by: Nordic Model (Free Education), Singapore (STEM Focus), and China (AI Integration) ✅ Free Public Education for Life: Every citizen has access to continuous learning, including college and skill retraining. ✅ AI-Based Personalized Learning: Students use AI tutors that adapt to their learning pace. ✅ Ethics & Critical Thinking Curriculum: Courses in philosophy, logic, and decision-making prevent misinformation and ignorance. -/- 1.4. Healthcare & Social Welfare: AI-Driven Preventive Medicine -/- Inspired by: Nordic Model (Universal Healthcare), Singapore (Tech-Driven Healthcare), and China (Mass Coverage) ✅ Government-Funded Universal Healthcare: Citizens receive free basic healthcare, with private options available. ✅ AI & Robotics in Medicine: AI diagnoses diseases early, reducing medical costs. ✅ Preventive Healthcare Policy: Citizens receive incentives for maintaining good health (fitness programs, nutrition plans). -/- 1.5. Environmental & Energy Policies: The Green Industrial Revolution -/- Inspired by: China (Renewable Energy Expansion), Nordic Model (Sustainability Laws), and Singapore (Urban Planning) ✅ Mandatory Green Technology Adoption: Businesses must comply with strict eco-friendly policies. ✅ Carbon Credit Economy: Citizens and companies earn rewards for reducing carbon footprints. ✅ 100% Renewable Energy by 2050: The government funds solar, wind, and AI-optimized energy grids. -/- 1.6. Law & Order: AI-Governed Justice & Anti-Corruption Measures -/- Inspired by: Switzerland (Independent Judiciary), Singapore (Strict Law Enforcement), and China (AI in Governance) ✅ AI-Assisted Judiciary: AI helps judges analyze case laws for fair, unbiased rulings. ✅ Zero-Corruption Policy: Public officials caught in corruption face lifetime bans from government service. ✅ Balanced Civil Rights & Security: -/- Freedom of Speech: Citizens can express opinions, but disinformation is regulated. -/- AI Surveillance for Security: AI prevents crime while protecting privacy. -/- 2. Government Structure of HGM -/- 2.1. Executive Branch: The President, Prime Minister, and Technocrats -/- President (Elected by Public Vote) → Oversees national policies and international relations. -/- Prime Minister (Elected by Parliament) → Manages daily governance. -/- Technocratic Economic Council → Expert-led economic planning. -/- AI-Assisted Policy Bureau → Uses AI for healthcare, infrastructure, and environmental policies. -/- 2.2. Legislative Branch: Semi-Direct Parliament -/- Lower House (Elected Officials) → Creates laws based on citizen participation. -/- Upper House (Experts & Regional Representatives) → Reviews laws for scientific and ethical validity. -/- Referendum System → Citizens directly vote on key national issues. -/- 2.3. Judicial Branch: AI-Assisted Supreme Court -/- Independent Court System → Ensures justice and constitutional balance. -/- AI Legal Analysis → AI helps judges analyze previous cases and evidence. -/- 3. Implementation Strategy: How to Apply HGM Worldwide -/- To implement HGM, a phased approach is needed: -/- Phase 1 (0-5 Years): Research & AI Integration -/- ✅ Establish an HGM Global Research Center to develop AI governance models. ✅ Pilot AI-assisted economic planning in select countries. -/- Phase 2 (5-10 Years): Education & Public Awareness -/- ✅ Introduce HGM-based education systems (critical thinking, AI governance). ✅ Encourage political reforms to adopt hybrid governance models. -/- Phase 3 (10-20 Years): Nationwide Policy Implementation -/- ✅ Countries gradually adopt the HGM framework, with AI monitoring national progress. ✅ Global partnerships for climate change action and digital economy growth. -/- Phase 4 (Beyond 20 Years): Global Standardization -/- ✅ Establish an HGM Alliance for international cooperation. ✅ Implement AI-driven global policies on poverty, sustainability, and digital rights. -/- 4. Why the HGM is the Future of Governance -/- The Holistic Governance Model (HGM) offers the most advanced, efficient, and democratic government system by combining AI governance, citizen participation, economic stability, and social equality. -/- Conclusion: A Government System for the 21st Century -/- The Holistic Governance Model (HGM) combines the best government systems into a single, optimized model. By implementing AI, technocracy, direct democracy, and long-term planning, HGM ensures: ✅ Efficient economic management ✅ Social equality without excessive taxation ✅ Democratic participation with AI-driven transparency ✅ Sustainable environmental policies ✅ Corruption-free governance -/- If adopted globally, HGM could transform human civilization into a more just, advanced, and sustainable society. -/- . (shrink)

According to virtue epistemology, the main aim of education is the development of the cognitive character of students (Pritchard, 2014, 2016). Given the proliferation of technological tools such as ChatGPT and other LLMs for solving cognitive tasks, how should educational practices incorporate the use of such tools without undermining the cognitive character of students? Pritchard (2014, 2016) argues that it is possible to properly solve this ‘technology-education tension’ (TET) by combining the virtue epistemology framework with the theory of extended (...) cognition (EXT) (Clark and Chalmers, 1998). He argues that EXT enables us to consider tools as constitutive parts of the students’ cognitive system, thus preserving their cognitive character from technologically induced cognitive diminishment. The first aim of this paper is to show that this solution is not sufficient to solve the TET. Second, I aim to offer a complementary and more encompassing framework of tool-use to address the TET. Then, I apply it to the educational uses of ChatGPT as the most notable example of LLM, although my arguments can be extended to other generative AI systems. To do so, in Sect. 1.1, I present Pritchard’s framework of cognitive character and virtue epistemology applied in education, to which I am committed in this treatment. In Sects. 2 and 3, I respectively illustrate Pritchard’s (2014) solution to the TET, and I highlight the general limitations of his proposal. Thus, in Sect. 4.1 I characterize ChatGPT as a computational cognitive artifact using Fasoli’s (2017, 2018) taxonomy of cognitive artifacts. In Sect. 4.2, I introduce my proposal, which combines Pritchard’s account of virtue epistemology with Fasoli’s (2017, 2018) taxonomy of cognitive artifacts to address the TET. Finally, in Sect. 5.1, I present some epistemically virtuous uses of ChatGPT in educational contexts. To conclude, I argue in favor of a multidisciplinary approach for analyzing educational activities involving AI technologies such as ChatGPT. (shrink)

The future of human evolution triggers many discussions, in the intersection of biological, technological, and philosophical enquiry. I will discuss the proposition that the evolution of the human species will rely increasingly in stochastic phenomena in the future, by a manner at which selection will play a minimal role only. This is the direct consequence of our cultural evolution that was intensified after the Enlightenment and combined with the scientific, technological, and medical advances of our civilization, renders the perseverance (...) of our species, as its ultimate goal. This supersedes the goals instructed by biology alone as they apply to all other species. To that end, H. sapiens will be the first and only species that through its logic-based progress, defies the rationale of natural selection as an evolutionary force and forecasts a rather unpredictable future path. (shrink)

Lately, more and more authors have asserted their belief that one of the criteria which, together with the medical ones, can and should be applied in the policy of selecting and/or prioritizing the patients in need for the allocation of medical resources with limited availability, is the principle of individual responsibility for illness. My intention in this study is to highlight some very serious obstacles looming against the attempt to apply this principle in the distribution of the (...) medical services with limited availability. Although there are numerous such obstacles, I shall only discuss five of them (the most important, in my opinion). These are: 1) the impossibility to establish with certainty whether a patient got ill due to his lifestyle; 2) the lack of a feasible and reliable method of establishing an individual’s responsibility for his lifestyle; 3) a patient’s right to privacy; 4) some moral requirements and principles and, last but not least, 5) the ethics of the medical profession. (shrink)

It is well-known that racism is encoded into the social practices and institutions of medicine. Less well-known is that racism is encoded into the material artifacts of medicine. We argue that many medical devices are not merely biased, but materialize oppression. An oppressive device exhibits a harmful bias that reflects and perpetuates unjust power relations. Using pulse oximeters and spirometers as case studies, we show how medical devices can materialize oppression along various axes of social difference, including race, (...) gender, class, and ability. Our account uses political philosophy and cognitive science to give a theoretical basis for understanding materialized oppression, explaining how artifacts encode and carry oppressive ideas from the past to the present and future. Oppressive medical devices present a moral aggregation problem. To remedy this problem, we suggest redundantly layered solutions that are coordinated to disrupt reciprocal causal connections between the attitudes, practices, and artifacts of oppressive systems. (shrink)

The thesis that technology is applied science is called by Niiniluoto (1997) the standard view. That is surprising because the identification between technology and applied science has been widely rejected by both historians and philosophers of technology, including Rapp (1974), Bugliarello and Doner (1976), Derry and Williams (1977), Feibleman (1983), Skolimowski (1966), Vermaas et al., (2011), Don Idhe (2013). The reasons of such rejection mainly stem from the fact that technology has historically progressed without (...) the benefit of science, i.e., it has been possible to design technological devices without the explicit and systematic development of the scientific theories and laws that would explain their functioning. Polish philosopher Henryk Skolimowski has attacked this identification based on historical evidence. He argues that in the development of technology, there are many cases wherein technological designs have supported pure scientific research, rather than the other way round if technology were applied science. According to Skolimowski, some cases that dispute the identification of technology as applied science are the design of the transistor, supersonic aircraft, and the Manhattan Project. However, this historical evidence should not persuade us for two reasons: 1) Rejecting the previous scientific research that served as the basis for the said technological designs commits Skolimowski to anachronism. 2) From a realistic perspective of science, technological devices are not only subject to the principles and laws of science, regardless of the extent of our knowledge of them, but incorporate insights on more articulated explanations that while not available at the time of designing, do inspire our practical and theoretical efforts and guide further work. In this paper, we posit that the cases offered by Skolimowski to motivate his rejection of the standard view are far from being conclusive. To this end, we not only critically assess each case but also identify other historical examples that might be even more promising to support Skolimowski's thesis. Finally, we critically deal with those more promising cases and argue for a deflationary interpretation of the standard view. -/- . (shrink)

Introduction. The medical sphere is constantly evolving, requiring improved approaches to its organisation and functioning. Advances in medical technology, observable changes in patient needs and growing competition challenge medical institutions to improve their strategies and approaches. Marketing technologies are becoming one of the key tools for achieving strategic goals. Purpose. This article is aimed at studying the peculiarities of the use of marketing technologies in the medical field. The main purpose of the study is to (...) analyse the impact of marketing tools on the development and success of medical institutions. Method (methodology). The methodological approach involves the use of an analytical approach to studying current trends in marketing and their impact on the healthcare sector. The study uses methods of data analysis and comparative analysis of marketing practices in medical institutions. Results. The study found that the use of targeted marketing strategies allows healthcare facilities to attract more patients, increase customer satisfaction and ensure an excellent reputation. The results of the study show a positive impact of the use of marketing tools on changing the perception of medical services by patients. Conclusions. The scope of application of the results is the practical activities of medical institutions seeking to improve their strategy of promotion and interaction with customers. The findings of the study can be used by marketers and managers of healthcare organisations to develop and implement effective marketing strategies. In summary, this article reveals the importance of using marketing technologies in the healthcare sector and provides practical recommendations for their successful implementation. The study emphasises that marketing in the healthcare industry is necessary to increase competitiveness and ensure quality medical care. (shrink)

In this chapter, we analyze the relationship between Kondratieff waves and major technological revolutions on the basis of the theory of production principles and production revolutions, and offer some forecasts about the features of the Sixth Kondratieff Wave/the Fourth Industrial Revolution. We show that the technological breakthrough of the Sixth Kondratieff Wave may be interpreted as both the Fourth Industrial Revolution and as the final phase of the Cybernetic Revolution. We assume that the sixth K-wave in the 2030s and 2040s (...) will merge with the final phase of the Cybernetic Revolution (which we call a phase of selfregulating systems). This period will be characterized by the breakthrough in medical technologies which will be capable of combining a number of other technologies into a single system of new and innovative technologies (we denote this system as a system of MANBRIC-technologies—i.e. medical, additive, nano-, bio-, robo-, info-, and cogno-technologies). (shrink)

Background: Dengue Disease is a mosquito-borne tropical disease caused by the dengue virus, symptoms typically begin three to fourteen days after infection. This may include a high fever, headache, vomiting, muscle and joint pains, and a characteristic skin rash. Dengue serology is applied in different settings, such as for surveillance, in health care facilities in endemic areas and in travel clinics in non-endemic areas. The applicability and quality of serological tests in dengue endemic regions has to be judged against (...) a background of potential cross reactivity with other flavi-viruses, difficulties in distinguishing primary from secondary infections and technological problems related to the fact that most dengue endemic regions are relatively poor of resources .Objectives: to help doctors and patients in diagnosing Dengue Disease and give them the information of how to prevent Dengue Disease and to be able to understand the signs and symptoms of Dengue Disease. Methods: We collected all relevant material for Dengue Disease. Then we designed and implemented a knowledge based system for diagnosing Dengue Disease using SL5 Object Language. Results: The knowledge based system was evaluated by a group of Patients and specialized doctors and they found it very friendly and easy to use. (shrink)

Medicine is often thought of as a science of the body, but it is also a science of data. In some contexts, it can even be asserted that data drive health. This article focuses on a key piece of data technology central to contemporary practices of medicine: the medical record. By situating the medical record in the perspective of its history, we inquire into how the kinds of data that are kept at sites of clinical encounter often (...) depend on informational requirements that originate well outside of the clinic, in particular in health insurance records systems. Although this dependency of today's electronic medical records on billing requirements is widely lamented by clinical providers, its history remains little studied. Following the archaeology of medicine developed by Michel Foucault in The Birth of the Clinic and expanding his methodology in light of more recent contributions to the field of media archaeology, this article excavates some of the underexplored technological conditions that help constitute today's electronic medical record. If in some contexts, it is true that data drive health, then an archaeology of medical records helps reveal how health insurance records often impact clinical care and, by extension, health and disease. (shrink)

Recent breakthroughs in stem cell differentiation and reprogramming suggest that functional human gametes could soon be created in vitro. While the ethical debate on the uses of in vitro generated gametes (IVG) was originally constrained by the fact that they could be derived only from embryonic stem cell lines, the advent of somatic cell reprogramming, with the possibility to easily derive human induced pluripotent stem cells from any individual, affords now a major leap in the feasibility of IVG derivation and (...) in the scope of their potential applications. In this paper we develop an ethical framework, rooted in recent scientific evidence, to support a robust experimental pipeline that could enable the first-in-human use of IVG. We then apply this framework to the following objectives: (1) a clarification of the genetic parenting options afforded by IVG, along with their ethical underpinnings; (2) a defence of the use of IVG to remedy infertility, broadening their scope to same-sex couples; (3) an assessment of the most far-reaching implications of IVG for multiplex parenting. These include, first, the liberation of parenting roles from the constraints of biological generations in vivo, allowing multiple individuals to engage in genetic parenting together, thus blurring the distinction between biological and social generations. Second, we discuss the conflation of IVG with sequencing technology and its implications for the possibility that prospective parents may choose among a hitherto unprecedented number of potential children. In view of these perspectives, we argue that, contrary to the exhausted paradigm according to which society lags behind science, IVG may represent instead a salient and most visible instance where biotechnological ingenuity could be used in pursuit of social experimentation. (shrink)

Throughout its brief history the philosophy of technology has been largely concerned with the debate over the nature of technology. Typically, technology has been viewed as being essentially another term for applied science, the practical application of scientific theory to the material world. In recent years philosophers and cultural critics have characterised technology in a far more problematic fashion, as an authoritarian power with the ability to bring about far-reaching cultural, political and ecological effects. Proponents (...) of the former view are often termed instrumentalists and those of the latter technological determinists. The debate between them revolves around the question of the fact/value distinction, namely whether technology can be deemed to be value-neutral. I argue that employing a phenomenological approach to technology grants us a fresh perspective on the instrumentalism-determinism debate. It enables us to recast the instrumentalist/determinist debate as a debate between technological idealism and materialism, and to ground the instrumentalist and determinist positions in different experiential relations to technology. It also gives us a better grasp of the function of the different critiques of technology, with idealists concerned primarily with the misapplication of technology as a form of knowledge, and materialists with the existential implications of concrete technological relations. (shrink)

English law is unambiguous that legal personality, and with it all legal rights and protections, is assigned at birth. This rule is regarded as a bright line that is easily and consistently applied. The time has come, however, for the rule to be revisited. This article demonstrates that advances in fetal surgery and (anticipated) artificial wombs do not marry with traditional conceptions of birth and being alive in law. These technologies introduce the possibility of ex utero gestation, and/or temporary (...) existence ex utero, and consequently developing human beings that are novel to the law. Importantly, therefore, the concepts of birth and born alive no longer distinguish between human beings deserving of legal protection in the way originally intended. Thus, there is a need for reform, for a new approach to determining the legal significance of birth and what being legally alive actually encompasses. Investigating the law of birth is of crucial importance, because of the implications of affording or denying the subjects of new reproductive technologies rights and protections. A determination of the legal status of the subject of fetal surgery or an artificial womb will determine what can and cannot be done to each entity. Moreover, the status afforded to these entities will drastically impact on the freedoms of pregnant women. (shrink)

When product design teams gather at the whiteboard in big-tech office parks and startup garages around the world, they ask themselves: How will customers use our technology? Is it better than our competitors’? How much money can we make? But one question that’s rarely asked: does our technology advance human flourishing? -/- In a new white paper by Harvard professor Danielle Allen and her colleagues Eli Frankel, Woojin Lim, Divya Siddarth, Josh Simons, and Glen Weyl entitled “The Ethics (...) of Decentralized Social Technologies: Lessons from Web3, the Fediverse, and Beyond,” the authors not only ask this question but offer a powerful framework for answering it. Drawing on the accumulated wisdom of democratic societies, the authors show that the values of democratic governance that have promoted human flourishing can be translated into a rubric for judging new technologies. -/- In this short research brief, we unpack and comment on the four-step logic at the core of their case. Ultimately, their argument demonstrates the power and the challenge – and above all, the urgency – of placing human flourishing at the center of technology governance. (shrink)

Iris Marion Young’s classic paper on the phenomenology of pregnancy chronicles the alienating tendencies of technology-ridden maternal care, as the mother’s subjective knowledge of the pregnancy gets overridden by the objective knowledge provided by medical personnel and technological apparatuses. Following Fredrik Svenaeus, the authors argue that maternal care is not necessarily alienating by looking specifically at the proper attention paid by sonographers in maternal care when performing ultrasound examinations. Using Martin Heidegger’s philosophy as a theoretical lens, the authors (...) argue that sonographers who cultivate technical mastery, build patient rapport, explain the process and significance of the ultrasound, and understand the patient’s world are able to provide excellent patient care. The authors utilize Hans-Georg Gadamer’s hermeneutics to show how sonographers can frame the ultrasound in a way that acknowledges both the subjective knowledge of the mother and the objective data obtained by the sonographer through the use of technology. Ultimately, the authors argue that the common practice of framing the ultrasound as the chance to “meet the baby” is inappropriate, as it exacerbates the tendency to regard objective knowledge as the only legitimate knowledge in medical contexts. They recommend a more balanced approach that elicits a fusion of horizons between the patient’s subjective knowledge and the objective data that is obtained by the sonographer via the ultrasound, thus respecting and bolstering patient autonomy. (shrink)

That technologies may raise ethical issues is now widely recognised. The ‘responsible innovation’ literature – as well as, to a lesser extent, the applied ethics and bioethics literature – has responded to the need for ethical reflection on technologies by developing a number of tools and approaches to facilitate such reflection. Some of these instruments consist of lists of questions that people are encouraged to ask about technologies – a methodology known as the ‘Socratic approach’. However, to date, these (...) instruments have often not adequately acknowledged various political impacts of technologies, which are, I suggest, essential to a proper account of the ethical issues they raise. New technologies can make some people richer and some people poorer, empower some and disempower others, have dramatic implications for relationships between different social groups and impact on social understandings and experiences that are central to the lives, and narratives, of denizens of technological societies. The distinctive contribution of this paper, then, is to offer a revised and updated version of the Socratic approach that highlights the political, as well as the more traditionally ethical, issues raised by the development of new technologies. (shrink)

The National Center for Biomedical Ontology is now in its seventh year. The goals of this National Center for Biomedical Computing are to: create and maintain a repository of biomedical ontologies and terminologies; build tools and web services to enable the use of ontologies and terminologies in clinical and translational research; educate their trainees and the scientific community broadly about biomedical ontology and ontology-based technology and best practices; and collaborate with a variety of groups who develop and use ontologies (...) and terminologies in biomedicine. The centerpiece of the National Center for Biomedical Ontology is a web-based resource known as BioPortal. BioPortal makes available for research in computationally useful forms more than 270 of the world's biomedical ontologies and terminologies, and supports a wide range of web services that enable investigators to use the ontologies to annotate and retrieve data, to generate value sets and special-purpose lexicons, and to perform advanced analytics on a wide range of biomedical data. (shrink)

Pharmaceuticals or other emerging technologies could be used to enhance (or diminish) feelings of lust, attraction, and attachment in adult romantic partnerships. While such interventions could conceivably be used to promote individual (and couple) well-being, their widespread development and/or adoption might lead to “medicalization” of human love and heartache—for some, a source of serious concern. In this essay, we argue that the “medicalization of love” need not necessarily be problematic, on balance, but could plausibly be expected to have either good (...) or bad consequences depending upon how it unfolds. By anticipating some of the specific ways in which these technologies could yield unwanted outcomes, bioethicists and others can help direct the course of love’s “medicalization”—should it happen to occur—more toward the “good” side than the “bad.”. (shrink)

In contemporary healthcare, medical image categorization is essential for illness prediction, diagnosis, and therapy planning. The emergence of digital imaging technology has led to a significant increase in research into the use of machine learning (ML) techniques for the categorization of images in medical data. We provide a thorough summary of recent developments in this area in this review, using knowledge from the most recent research and cutting-edge methods.We begin by discussing the unique challenges and opportunities associated (...) with medical image classification, including the complexity of anatomical structures, variability in imaging modalities, and the need for interpretability and reliability in clinical settings. Subsequently, we survey a wide range of ML algorithms and techniques employed for medical image classification, including traditional methods such as support vector machines and k-nearest neighbors, as well as deep learning approaches like convolutional neural networks (CNNs) and recurrent neural networks (RNNs). Furthermore, we examine key considerations in dataset preparation, feature extraction, and model evaluation specific to medical image classification tasks. We highlight the importance of large, annotated datasets, transfer learning, and data augmentation techniques in enhancing model performance and generalization. (shrink)

Heart disease remains one of the leading causes of mortality worldwide. Early prediction and diagnosis are critical in preventing severe outcomes and improving the quality of life for patients. This project focuses on developing a robust heart disease prediction system using machine learning techniques. By analyzing a comprehensive dataset consisting of various patient attributes such as age, sex, blood pressure, cholesterol levels, and other medical parameters, the system aims to predict the likelihood of a patient having heart disease. The (...) project employs various machine learning algorithms such as Logistic Regression, Decision Trees, Support Vector Machines (SVM), and Random Forests to classify the data and provide an accurate prediction. The system's performance is evaluated using metrics like accuracy, precision, recall, and F1-score, ensuring that it can offer reliable results in real-world applications. Furthermore, feature selection techniques are applied to identify the most significant factors contributing to heart disease, thus improving the model's interpretability. The proposed solution is intended to aid healthcare professionals by providing early alerts and recommendations, ultimately facilitating timely interventions. (shrink)

In the present paper, on the basis of the theory of production principles and production revolutions, we reveal the interrelation between K-waves and major technological breakthroughs in history and make some predictions about features of the sixth Kondratieff wave in the light of the Cybernetic Revolution which, we think, started in the 1950s. We assume that the sixth K-wave in the 2030s and 2040s will merge with the final phase of the Cybernetic Revolution (which we call the phase of self-regulating (...) systems). This period will be characterized by breakthroughs in medical technologies which will manage to combine many other technologies into a single complex of MBNRIC-technologies (med-bio-nano-robo-info-cognitive technologies). The article offers some predictions concerning the development of these technologies. (shrink)

If medical complicity is understood as compliance with a directive to act against the professional's best medical judgment, the question arises whether it can ever be justified. This paper will trace the contours of what would legitimate a directive to act against a professional's best medical judgment (and in possible contravention of her oath) using Joseph Raz's service conception of authority. The service conception is useful for basing the legitimacy of authoritative directives on the ability of the (...) putative authority to enable subjects to comply better with reasons that already apply to them. Hence, the service conception bases the legitimacy of practical authority on a certain kind of greater knowledge or expertise. This helps to focus the conundrum regarding complicity on the clash of expertise between the medical expert and the governing body tasked with coordinating behaviour and otherwise devising rules for the social good. The ethical dilemma presented by a hypothetically legitimate directive to act against a professional's best medical judgment also serves to highlight the moral dimension of one's duty to obey a legitimate authority. (shrink)

Chronic Kidney Disease (CKD) is a significant global health issue, often leading to kidney failure and requiring costly medical treatments such as dialysis or transplants. Early detection of CKD is essential for timely intervention and improved patient outcomes. This project aims to develop a machine learning-based predictive model for diagnosing CKD at an early stage. By utilizing a range of clinical features such as age, blood pressure, blood sugar, and other relevant biomarkers, we employ machine learning algorithms, including Decision (...) Trees, Random Forests, and Support Vector Machines (SVM), to predict the likelihood of a patient developing CKD. The dataset used in this study includes medical records of patients with various kidney conditions, and preprocessing techniques such as normalization and missing data handling are applied to ensure the model’s robustness. The performance of the model is evaluated using metrics such as accuracy, precision, recall, and F1-score to ensure reliable predictions. This approach not only aims to improve diagnostic accuracy but also provides a data-driven solution to assist healthcare professionals in making informed decisions. The outcome of this project can contribute to better management of CKD, ultimately helping to reduce the burden on healthcare systems and improving patient care. (shrink)

This paper proposes a specific approach to understanding the nature of technology that encompasses the entire field of technological praxis, from the making of primitive tools to using the Internet. In that approach, technology is a specific form of human agency that yields to (an imperfect) realization of human control over a technological situation—that is, a situation not governed to an end by natural constraints but by specific human aims. The components of such technological situations are a given (...) collection of natural or artificial beings, humans, human aims, and situation-bound tools. By performing technological situation analysis, the essential form of tool making, the complex system of relationships between science and technology, technological practices with and without machines, the finiteness or imperfectness of any technology, and engineering (i.e., the possibility of the creation of technological situations) can be considered. For a better characterization of the approach to technology, the paper also presents a comparison of other philosophies of technology. Following Feenberg’s comparative analysis, the so-called fundamental question of the philosophy of technology is formulated, its two sides are identified, and it is applied for clarification of our position within philosophy of technology. In our approach, all human praxis can be considered to be technological; more precisely, every human activity has a technological aspect or dimension. (shrink)

Background: Liver cancer is one of the malignant tumors worldwide, while the prevention and control situation is grim at present, and the diffusion of its early screening technology still faces some challenges. This study aims to investigate the influencing mechanism of perceived ease of use, organizational support mechanism, and industry competitive pressure on hepatic early screening technologies use by physicians, so as to promote the wider use of corresponding technologies. -/- Methods: Under the theoretical guidance of technology-organization-environment framework (...) and mindsponge theory, this study took hepatic contrast-enhanced ultrasound as an example, and conducted a cross-sectional questionnaire by randomly selecting physicians from Fujian and Jiangxi provinces in China with a high and low incidence of liver cancer, respectively. Structural equation modeling was used to determine the correlation among perceived ease of use, organizational support mechanism, and industry competitive pressure, as well as their impact on the physicians’ behavior toward contrast-enhanced ultrasound use. -/- Results: The hypothesis model fits well with the data (χ2/df = 1.863, GFI = 0.937, AGFI = 0.908, RMSEA = 0.054, NFI = 0.959, IFI = 0.980, CFI = 0.980). Under technology-organization-environment framework, the perceived ease of use (β = 0.171, p < 0.05), organizational support mechanism (β = 0.423, p < 0.01), industry competitive pressure (β = 0.159, p < 0.05) significantly influenced physicians’ use of hepatic contrast-enhanced ultrasound. Besides, perceived ease of use and organizational support mechanism (β = 0.216, p < 0.01), perceived ease of use and industry competitive pressure (β = 0.671, p < 0.01), organizational support mechanism and industry competitive pressure (β = 0.330, p < 0.01) were all associated significantly. -/- Conclusion: From the lens of information processing (mindsponge theory) and technology-organization-environment framework, this study clarified the social and psychological influencing mechanism of perceived ease of use, organizational support mechanism, and industry competitive pressure on physicians’ use of hepatic contrast-enhanced ultrasound. The results will directly propose recommendations for expanding hepatic contrast-enhanced ultrasound utilization and indirectly promoting other appropriate and effective health technologies diffusion within the integrated health system. (shrink)

By utilizing a range of clinical features such as age, blood pressure, blood sugar, and other relevant biomarkers, we employ machine learning algorithms, including Decision Trees, Random Forests, and Support Vector Machines (SVM), to predict the likelihood of a patient developing CKD. The dataset used in this study includes medical records of patients with various kidney conditions, and preprocessing techniques such as normalization and missing data handling are applied to ensure the model’s robustness. T.

Chronic Kidney Disease (CKD) is a significant global health issue, often leading to kidney failure and requiring costly medical treatments such as dialysis or transplants. Early detection of CKD is essential for timely intervention and improved patient outcomes. This project aims to develop a machine learning-based predictive model for diagnosing CKD at an early stage. By utilizing a range of clinical features such as age, blood pressure, blood sugar, and other relevant biomarkers, we employ machine learning algorithms, including Decision (...) Trees, Random Forests, and Support Vector Machines (SVM), to predict the likelihood of a patient developing CKD. The dataset used in this study includes medical records of patients with various kidney conditions, and preprocessing techniques such as normalization and missing data handling are applied to ensure the model’s robustness. The performance of the model is evaluated using metrics such as accuracy, precision, recall, and F1-score to ensure reliable predictions. (shrink)

The dataset used in this study includes medical records of patients with various kidney conditions, and preprocessing techniques such as normalization and missing data handling are applied to ensure the model’s robustness. The performance of the model is evaluated using metrics such as accuracy, precision, recall, and F1-score to ensure reliable predictions. This approach not only aims to improve diagnostic accuracy but also provides a data-driven solution to assist healthcare professionals in making informed decisions. The outcome of this (...) project can contribute to better management of CKD, ultimately helping to reduce the burden on healthcare systems and improving patient care. (shrink)