This is a volume of twelve essays concerning the fundamental tension in personalised medicine between individual choice and the common good.

The idea of personalised medicine (PM) has gathered momentum recently, attracting funding and generating hopes as well as scepticism. As PM gives rise to differing interpretations, there have been several attempts to clarify the concept. In an influential paper published in this journal, Schleidgen and colleagues have proposed a precise and narrow definition of PM on the basis of a systematic literature review. Given that their conclusion is at odds with those of other recent attempts to understand PM, (...) we consider whether their systematic review gives them an edge over competing interpretations. We have found some methodological weaknesses and questionable assumptions in Schleidgen and colleagues’ attempt to provide a more specific definition of PM. Our perplexities concern the lack of criteria for assessing the epistemic strength of the definitions that they consider, as well as the logical principles used to extract a more precise definition, the narrowness of the pool from which they have drawn their empirical data, and finally their overlooking the fact that definitions depend on the context of use. We are also worried that their ethical assumption that only patients’ interests are legitimate is too simplistic and drives all other stakeholders’ interests—including those that are justifiable—underground, thus compromising any hope of a transparent and fair negotiation among a plurality of actors and interests. As an alternative to the shortcomings of attempting a semantic disciplining of the concept we propose a pragmatic approach. Rather than considering PM to be a scientific concept in need of precise demarcation, we look at it as an open and negotiable concept used in a variety of contexts including at the level of orienting research goals and policy objectives. We believe that since PM is still more an ideal than an achieved reality, a plurality of visions is to be expected and we need to pay attention to the people, reasons and interests behind these alternative conceptions. In other words, the logic and politics of PM cannot be disentangled and disagreements need to be tackled addressing the normative and strategic conflicts behind them. (shrink)

The rise of personalised medicine can be seen as an extension of individualism and as a threat to the common good.

The paper discusses some of the implications of regulatory innovation in the area of advanced biological therapies and personalised medicine. Benefits, risks and trade-offs are highlighted.

Even in the increasingly individualized American medical system, advocates of 'personalized medicine' claim that healthcare isn't individualized enough. With the additional glamour of new biotechnologies such as genetic testing and pharmacogenetics behind it, 'Me Medicine'-- personalized or stratified medicine-- appears to its advocates as the inevitable and desirable way of the future. Drawing on an extensive evidence base, this book examines whether these claims are justified. It goes on to examine an alternative tradition rooted in communitarian ideals, (...) that of the common good as a goal in medicine. (shrink)

Precision Medicine is driven by the idea that the rapidly increasing range of relatively cheap and efficient self-tracking devices make it feasible to collect multiple kinds of phenotypic data. Advocates of N = 1 research emphasize the countless opportunities personal data provide for optimizing individual health. At the same time, using biomarker data for lifestyle interventions has shown to entail complex challenges. In this paper, we argue that researchers in the field of precision medicine need to address the (...) performative dimension of collecting data. We propose the fun-house mirror as a metaphor for the use of personal health data; each health data source yields a particular type of image that can be regarded as a ‘data mirror’ that is by definition specific and skewed. This requires competence on the part of individuals to adequately interpret the images thus provided. (shrink)

The soaring promises made by personalized genetic medicine advocates are probably loftier than those in any other medical or scientific realm today. Are they justified?

The growth of personalised medicine threatens the communal approach that has brought our biggest health gains.

Background: The concept of digital twins has great potential for transforming the existing health care system by making it more personalized. As a convergence of health care, artificial intelligence, and information and communication technologies, personalized health care services that are developed under the concept of digital twins raise a myriad of ethical issues. Although some of the ethical issues are known to researchers working on digital health and personalized medicine, currently, there is no comprehensive review that maps the major (...) ethical risks of digital twins for personalized health care services. Objective: This study aims to fill the research gap by identifying the major ethical risks of digital twins for personalized health care services. We first propose a working definition for digital twins for personalized health care services to facilitate future discussions on the ethical issues related to these emerging digital health services. We then develop a process-oriented ethical map to identify the major ethical risks in each of the different data processing phases. Methods: We resorted to the literature on eHealth, personalized medicine, precision medicine, and information engineering to identify potential issues and developed a process-oriented ethical map to structure the inquiry in a more systematic way. The ethical map allows us to see how each of the major ethical concerns emerges during the process of transforming raw data into valuable information. Developers of a digital twin for personalized health care service may use this map to identify ethical risks during the development stage in a more systematic way and can proactively address them. Results: This paper provides a working definition of digital twins for personalized health care services by identifying 3 features that distinguish the new application from other eHealth services. On the basis of the working definition, this paper further layouts 10 major operational problems and the corresponding ethical risks. Conclusions: It is challenging to address all the major ethical risks that a digital twin for a personalized health care service might encounter proactively without a conceptual map at hand. The process-oriented ethical map we propose here can assist the developers of digital twins for personalized health care services in analyzing ethical risks in a more systematic manner. (shrink)

Francis Collins had an impressive track record as a gene hunter (cystic fibrosis, neurofibromatosis, Huntington’s disease) when he was appointed Director of the Human Genome Project (HGP) in 1993. In June 2000, together with Craig Venter and President Bill Clinton, he presented the draft version of the human genome sequence to a worldwide audience during a famous press conference. And in 2009, President Barack Obama nominated him as director of the National Institutes of Health (NIH), the largest Tfunding agency for (...) biomedical research in the world. s The In 2006, Collins published his book The Language of God,3 an autobiographical account of the HGP and its scientific, historical, and societal significance, with special attention paid to the impact of the human sequence on the way we see our world and ourselves.4 Now, by way of a sequel, he has written The Language of Life. Wherea Language of God focused on the genome sequence of mankind in general, and on the HGP as a “revolution” in biomedicine, the new book, as indicated by its subtitle, is oriented towards “the revolution in personalized medicine”, the impact of the genomics revolution on the personal lives of individuals. Before subjecting Collins’ book to a closer reading, I first of all would like to explain how I will read it and from what perspective. Why is genomics in general, and the HGP and its aftermath in particular, a subject of interest to a philosopher like me? Why did I become interested in assessing the HGP and in studying the work and views of some of its key contributors? (shrink)

From 1900 onwards, scientists and novelists have explored the contours of a future society based on the use of “anthropotechnologies” (techniques applicable to human beings for the purpose of performance enhancement ranging from training and education to genome-based biotechnologies). Gradually but steadily, the technologies involved migrated from (science) fiction into scholarly publications, and from “utopia” (or “dystopia”) into science. Building on seminal ideas borrowed from Nietzsche, Peter Sloterdijk has outlined the challenges inherent in this development. Since time immemorial, and at (...) least since the days of Plato’s Academy, human beings have been interested in possibilities for (physical or mental) performance enhancement. We are constantly trying to improve ourselves, both collectively and individually, for better or for worse. At present, however, new genomics-based technologies are opening up new avenues for self-amelioration. Developments in research facilities using animal models may to a certain extent be seen as expeditions into our own future. Are we able to address the bioethical and biopolitical issues awaiting us? After analyzing and assessing Sloterdijk’s views, attention will shift to a concrete domain of application, namely sport genomics. For various reasons, top athletes are likely to play the role of genomics pioneers by using personalized genomics information to adjust diet, life-style, training schedules and doping intake to the strengths and weaknesses of their personalized genome information. Thus, sport genomics may be regarded as a test bed where the contours of genomics-based self-management are tried out. (shrink)

Healthcare systems across the globe are struggling with increasing costs and worsening outcomes. This presents those responsible for overseeing healthcare with a challenge. Increasingly, policymakers, politicians, clinical entrepreneurs and computer and data scientists argue that a key part of the solution will be ‘Artificial Intelligence’ (AI) – particularly Machine Learning (ML). This argument stems not from the belief that all healthcare needs will soon be taken care of by “robot doctors.” Instead, it is an argument that rests on the classic (...) counterfactual definition of AI as an umbrella term for a range of techniques that can be used to make machines complete tasks in a way that would be considered intelligent were they to be completed by a human. Automation of this nature could offer great opportunities for the improvement of healthcare services and ultimately patients’ health by significantly improving human clinical capabilities in diagnosis, drug discovery, epidemiology, personalised medicine, and operational efficiency. However, if these AI solutions are to be embedded in clinical practice, then at least three issues need to be considered: the technical possibilities and limitations; the ethical, regulatory and legal framework; and the governance framework. In this article, we report on the results of a systematic analysis designed to provide a clear overview of the second of these elements: the ethical, regulatory and legal framework. We find that ethical issues arise at six levels of abstraction (individual, interpersonal, group, institutional, sectoral, and societal) and can be categorised as epistemic, normative, or overarching. We conclude by stressing how important it is that the ethical challenges raised by implementing AI in healthcare settings are tackled proactively rather than reactively and map the key considerations for policymakers to each of the ethical concerns highlighted. (shrink)

With the highest profile seller of $99 genetic tests under fire, will public trust in personalised medicine suffer?

Wearable devices are increasingly present in the health context, as tools for biomedical research and clinical care. In this context, wearables are considered key tools for a more digital, personalised, preventive medicine. At the same time, wearables have also been associated with issues and risks, such as those connected to privacy and data sharing. Yet, discussions in the literature have mostly focused on either technical or ethical considerations, framing these as largely separate areas of discussion, and the contribution (...) of wearables to the collection, development, application of biomedical knowledge has only partially been discussed. To fill in these gaps, in this article we provide an epistemic (knowledgerelated) overview of the main functions of wearable technology for health: monitoring, screening, detection, and prediction. On this basis, we identify 4 areas of concern in the application of wearables for these functions: data quality, balanced estimations, health equity, and fairness. To move the field forward in an effective and beneficial direction, we present recommendations for the 4 areas: local standards of quality, interoperability, access, and representativity. (shrink)

The genomics “revolution” is spreading. Originating in the molecular life sciences, it initially affected a number of biomedical research fields such as cancer genomics and clinical genetics. Now, however, a new “wave” of genomic bioinformation is transforming a widening array of disciplines, including those that address the social, historical and cultural dimensions of human life. Increasingly, bioinformation is affecting “human sciences” such as psychiatry, psychology, brain research, behavioural research (“behavioural genomics”), but also anthropology and archaeology (“bioarchaeology”). Thus, bioinformatics is having (...) an impact on how we define and understand ourselves, how identities are formed and constituted, and, finally, on how we (on the basis of these redefined identities) assess and address some of the more concrete societal issues involved in genomics governance in various settings. This article explores how genomics and bioinformation, by influencing research agendas in the human sciences and the humanities, are affecting our self-image, our identity, the way we see ourselves. The impact of bioinformation on self-understanding will be assessed on three levels: (1) the collective level (the impact of comparative genomics on our understanding of human beings as a species), (2) the individual level (the impact of behavioural genomics on our understanding of ourselves as individuals), and (3) the genealogical level (the impact of population genomics on our understanding of human history, notably early human history). This threefold impact will be assessed from two seemingly incompatible philosophical perspectives, namely a “humanistic” perspective (represented in this article by Francis Fukuyama) and a “post-humanistic” one (represented by Peter Sloterdijk). On the basis of this analysis it will be concluded that, rather than focussing on human “enhancement” by adding or deleting genes, genome-oriented practices of the Self will focus on using genomics information in the context of identity-formation. Genomic bioinformation will increasingly be built into our self-images and used in order to tailor and adapt our practices of Self to our “personalised” genome. We will keep working on ourselves, no doubt, not by modifying our genomes, but rather by fine-tuning our behaviour. What we are experiencing is a bioinformatisation of the life-world. Genomics-based technologies will increasingly pervade our daily lives, our autobiographies and narratives, as well as our anthropologies, rather than our genomes as such. (shrink)

Technological advances are bringing new light to privacy issues and changing the reasons for why privacy is important. These advances have changed not only the kind of personal data that is available to be collected, but also how that personal data can be used by those who have access to it. We are particularly concerned with how information about personal attributes inferred from collected data (such as online behaviour), can be used to tailor messages and services to specific individuals or (...) groups. This kind of ‘personalised targeting’ has the potential to influence individuals’ perceptions, attitudes, and choices in unprecedented ways. In this paper, we argue that because it is becoming easier for companies to use collected data for influence, threats to privacy are increasingly also threats to personal autonomy—an individual’s ability to reflect on and decide freely about their values, actions, and behaviour, and to act on those choices.4 While increasing attention is directed to the ethics of how personal data is collected, we make the case that a new ethics of privacy needs to also think more rigorously about how personal data may be used, and its potential impact on personal autonomy. (shrink)

Google Search is arguably one of the primary epistemic tools in use today, with the lion’s share of the search-engine market globally. Scholarship on countering the current scourge of misinformation often recommends “digital lit- eracy” where internet users, especially those who get their information from so- cial media, are encouraged to fact-check such information using reputable sources. Given our current internet-based epistemic landscape, and Google’s dominance of the internet, it is very likely that such acts of epistemic hygiene will take (...) place via Google Search. The question arises whether Google Search is fit for purpose, given the apparent misalignment the general epistemic goal of promoting true beliefs and the greater online commercial ecosystem in which it is embedded. I argue that Google Search is epistemically problematic as it stands, mainly due to the opacity related to the parameters it uses for personalising search results. I further argue that in as far as an ordinary internet user is legitimately ignorant of Google’s workings, uses it in an “ordinary manner”, and is generally unable to avoid using it in the current information environment, they are not ep- istemically blameworthy for any false beliefs that they acquire via it. I conclude that too much emphasis is currently placed on individual epistemic practices and not enough on our information environment and epistemic tools when it comes to countering misinformation. (shrink)

ABSTRACT: Abstract Most modern knowledge is not science. The physical sciences have successfully validated theories to infer they can be used universally to predict in previously unexperienced circumstances. According to the conventional conception of science such inferences are falsified by a single irregular outcome. And verification is by the scientific method which requires strict regularity of outcome and establishes cause and effect. -/- Medicine, medical research and many “soft” sciences are concerned with individual people in complex heterogeneous populations. These (...) populations cannot be tested to demonstrate strict regularity of outcome in every individual. Neither randomised controlled trials nor observational studies in medicine are science in the conventional conception. Establishing and using medical and other “soft science” theories cannot be scientific. It requires conceptually different means: requiring expert judgement applying all available evidence in the relevant available factual matrix. -/- The practice of medicine is observational. Prediction of outcomes for the individual requires professional expertise applying available medical knowledge and evidence. Expertise in any profession can only be acquired through experience. Prior cases are the fundament of knowledge and expertise in medicine. Case histories, studies and series can provide knowledge of extremely high reliability applicable to establishing reliable general theories and falsifying others. Their collation, study and analysis should be a priority in medicine. Their devaluation as evidence, the failure to apply their lessons, the devaluation of expert professional judgement and the attempt to emulate the scientific method are all historic errors in the theory and practice of modern medicine. (shrink)

The success of precision medicine depends on obtaining large amounts of information about at-risk populations. However, getting consent is often difficult. Why? In this commentary I point to the differentials in social status involved. These differentials are inevitable once personal information is surrendered, but are particularly intense when the studied populations are socioeconomically or socioculturally disadvantaged and/or ethnically stigmatized groups. I suggest how the deep distrust of the latter groups can be partially justified as a lack of confidence that (...) their core values or interests will sufficiently be taken into account. Hence, the ethical challenge here lies not in avoiding status differentials, but in dealing with them appropriately. Scientists should not assume trust from others but adopt a norm of “demonstrating trustworthiness”. (shrink)

In this paper, I argue that the concept of normality in medical research and clinical practice is inextricable from the concept of ambiguity. I make this argument in the context of Edmund Pellegrino's call for a renewed reflection on medicine’s basic concepts and by drawing on work in critical disability studies concerning Deafness and body integrity identity disorder. If medical practitioners and philosophers of medicine wish to improve their understanding of the meaning of medicine as well as (...) its concrete practice, I contend that they should take seriously the import and centrality of ambiguity for biomedicine. (shrink)

Medicine is increasingly subject to various forms of criticism. This paper focuses on dominant forms of criticism and offers a better account of their normative character. It is argued that together, these forms of criticism are comprehensive, raising questions about both medical science and medical practice. Furthermore, it is shown that these forms of criticism mainly rely on standards of evaluation that are assumed to be internal to medicine and converge on a broader question about the aim of (...) medicine. Further work making medicine’s internal norms explicit and determining the aim of medicine would not only help to clarify to what extent the criticism is justified, but also assist an informed deliberation about the future of medicine. To illustrate some of the general difficulties associated with such a task, the paper concludes by critically engaging Edmund Pellegrino’s account of the aim of medicine as well as the Hastings Center’s consensus report. (shrink)

If one had to identify the biggest change within the philosophical tradition in the twenty-first century, it would certainly be the rapid rise of experimental philosophy to address differences in intuitions about concepts. It is, therefore, surprising that the philosophy of medicine has so far not drawn on the tools of experimental philosophy in the context of a particular conceptual debate that has overshadowed all others in the field: the long-standing dispute between so-called naturalists and normativists about the concepts (...) of health and disease. In this paper, I defend and advocate the use of empirical methods to inform and advance this and other debates within the philosophy of medicine. (shrink)

Amid criticism of medicine's scientific rigor and patient care, this book offers a philosophical examination of the nature and aims of medicine, and new perspectives on how these challenges can be addressed. It offers input for rethinking the agenda of medical research, healthcare delivery, and the education of healthcare personnel.

The connections between medicine and well-being are myriad. This paper focuses on the place of well-being in clinical medicine. It is here that different views of well-being, and their connection to concepts like “autonomy” and “authenticity”, both illuminate and are illuminated by looking closely at the kinds of interactions that routinely take place between clinicians, patients, and family members. -/- In the first part of the paper, I explore the place of well-being in a paradigmatic clinical encounter, one (...) where a competent patient interacts with a clinician. The main question here is how, or even whether, the pursuit of patient well-being – however we construe it – figures into a paradigmatic clinical encounter. In the second part of the paper, I consider what I will call a marginal clinical encounter – one where the patient is, as Agnieska Jaworska (1999) puts it, at the “margins of agency” – to theorize about the nature of well-being and to show how different theories of well-being can have dramatic consequences for clinical decision-making. (shrink)

Recent criticisms of medicine converge on fundamental questions about the aim of medicine. The main task of this paper is to propose an account of the aim of medicine. Discussing and rejecting the initially plausible proposal according to which medicine is pathocentric, the paper presents and defends the Autonomy Thesis, which holds that medicine is not pathocentric, but sanocentric, aiming to promote health with the final aim to enhance autonomy. The paper closes by considering the (...) objection that the Autonomy Thesis is overly permissive and allows many highly controversial procedures as legitimate parts of medicine. (shrink)

As opposed to a ‘one size fits all’ approach, precision medicine uses relevant biological, medical, behavioural and environmental information about a person to further personalize their healthcare. This could mean better prediction of someone’s disease risk and more effective diagnosis and treatment if they have a condition. Big data allows for far more precision and tailoring than was ever before possible by linking together diverse datasets to reveal hitherto-unknown correlations and causal pathways. But it also raises ethical issues relating (...) to the balancing of interests, viability of anonymization, familial and group implications, as well as genetic discrimination. This article analyses these issues in light of the values of public benefit, justice, harm minimization, transparency, engagement and reflexivity and applies the deliberative balancing approach found in theEthical Framework for Big Data in Health and Research to a case study on clinical genomic data sharing. Please refer to that article for an explanation of how this framework is to be used, including a full explanation of the key values involved and the balancing approach used in the case study at the end. Our discussion is meant to be of use to those involved in the practice as well as governance and oversight of precision medicine to address ethical concerns that arise in a coherent and systematic manner. (shrink)

Physicians frequently ask whether they should give patients what they want, usually when there are considerations pointing against doing so, such as medicine’s values and physicians’ obligations. It has been argued that the source of medicine’s values and physicians’ obligations lies in what has been dubbed “the internal morality of medicine”: medicine is a practice with an end and norms that are definitive of this practice and that determine what physicians ought to do qua physicians. In (...) this paper, I defend the claim that medicine requires a morality that is internal to its practice, while rejecting the prevalent characterization of this morality and offering an alternative one. My approach to the internal morality of medicine is constructivist in nature: the norms of medicine are constructed by medical professionals, other professionals, and patients, given medicine’s end of “benefitting patients in need of prima facie medical treatment and care.” I make the case that patients should be involved in the construction of medicine’s morality not only because they have knowledge that is relevant to the internal morality of medicine—namely, their own values and preferences—but also because medicine is an inherently relational enterprise: in medicine the relationship between physician and patient is a constitutive component of the craft itself. The framework I propose provides an authoritative morality for medicine, while allowing for the incorporation, into that very morality, of qualified deference to patient values. (shrink)

Part of a symposium devoted to ‘Prediction, Understanding, and Medicine’, in which Alex Broadbent argues that the nature of medicine is determined by its competences, i.e., which things it can do well. He argues that, although medicine cannot cure well, it can do a good job of enabling people not only to understand states of the human organism and of what has caused them, but also to predict future states of it. From this Broadbent concludes that (...) class='Hi'>medicine is (at least in part) essentially a practice of understanding and predicting, not curing. In reply to this bold position, I mount two major criticisms. First, I maintain that the reasons Broadbent gives for doubting that medicine can cure provide comparable reason for doubting that medicine can provide an understanding; roughly, the best explanation of why medicine cannot reliably cure is that we still lack much understanding of health and disease. Second, I object to the claim that a practice is medical only if it facilitates understanding and prediction. Although Broadbent has brought to light certain desirable purposes of medicine that are under-appreciated, my conclusion is that he has not yet provided enough reason to think that understanding and prediction are essential to it. Instead of supposing that medicine has an essence, in fact, I suggest that its nature is best understood in terms of a property cluster. (shrink)

The controversy around the accommodation of conscientious objections in medicine persists, especially for such contentious services as abortions. COs are typically considered in their negativ...

In this chapter, we consider ethical and philosophical aspects of trust in the practice of medicine. We focus on trust within the patient-physician relationship, trust and professionalism, and trust in Western (allopathic) institutions of medicine and medical research. Philosophical approaches to trust contain important insights into medicine as an ethical and social practice. In what follows we explain several philosophical approaches and discuss their strengths and weaknesses in this context. We also highlight some relevant empirical work in (...) the section on trust in the institutions of medicine. It is hoped that the approaches discussed here can be extended to nursing and other topics in the philosophy of medicine. (shrink)

What position on dualism does medicine require? Our understanding of that ques- tion has been dictated by holism, as defined by the biopsychosocial model, since the late twentieth century. Unfortunately, holism was characterized at the start with con- fused definitions of ‘dualism’ and ‘reductionism’, and that problem has led to a deep, unrecognized conceptual split in the medical professions. Some insist that holism is a nonreductionist approach that aligns with some form of dualism, while others insist it’s a reductionist (...) view that sets out to eradicate dualism. It’s important to consider each version. Nonreductive holism is philosophically consistent and clinically unprob- lematic. Reductive holism, however, is conceptually incoherent—yet it is the basis for the common idea that the boundary between medical and mental health disorders must be vague. When we trace that idea through to its implementation in medical practice, we find evidence that it compromises the safety of patient care in the large portion of cases where clinicians grapple with diagnosis at the boundary between psychiatry and medicine. Having established that medicine must embrace some form of nonreduc- tionism, I argue that Chalmers’ naturalistic dualism is a stronger prima facie candidate than the nonreductive alternatives. Regardless of which form of nonreductionism we prefer, some philosophical corrections are needed to give medicine a safe and coherent foundation. (shrink)

Ikigai is a Japanese concept, which, in brief, refers to the “reason or purpose to live”. I-risks have been identified as a category of risks complementing x- risks, i.e., existential risks, and s-risks, i.e., suffering risks, which describes undesirable future scenarios in which humans are deprived of the pursuit of their individual ikigai. While some developments in AI increase i-risks, there are also AI-driven virtual opportunities, which reduce i-risks by increasing the space of potential ikigais, largely due to developments in (...) generative AI, virtual worlds as well as AI-driven hyper-personalization. The purpose of this paper is to present a first attempt to map the potential AI-driven virtual hyper-personalised ikigai universe. Moreover, challenges and further ideas are presented. (shrink)

How compatible is a medical training with a future role in public office? Potentially very compatible and advantageous, particularly with regard to public policy issues, argues Dr Michael L Riordan.

En este texto se presenta un espacio de intercambio de conocimientos desde una perspectiva científica, técnica y jurídica, para contribuir a la protección de los recursos naturales. Debido a la importancia de establecer mecanismos para proteger la biodiversidad y posibilitar la preservación de los conocimientos asociados especialmente al uso de la flora medicinal, la Línea de Investigación en Política y Legislación, del Grupo de Estudios en Sistemas Tradicionales de Salud de la Facultad de Medicina, y la Línea de Derecho Ambiental (...) y Grupos Étnicos, del Grupo de Derechos Humanos de Jurisprudencia de la Universidad del Rosario, desarrollaron este libro a través del cual la Universidad se propone profundizar en el panorama actual de la reglamentación y política –Internacional, nacional y local—respecto a la flora medicinal y al patrimonio cultural inmaterial asociado a ésta. (shrink)

The issue of how to incorporate the individual's first‐hand experience of illness into broader medical understanding is a major question in medical theory and practice. In a philosophical context, phenomenology, with its emphasis on the subject's perception of phenomena as the basis for knowledge and its questioning of naturalism, seems an obvious candidate for addressing these issues. This is a review of current phenomenological approaches to medicine, looking at what has motivated this philosophical approach, the main problems it faces (...) and suggesting how it might become a useful philosophical tool within medicine, with its own individual, but interrelated, contribution to make to current medical debates. After the general background, there is a brief summary of phenomenological ideas and their current usage in a medical context. Next is a critique of four key claims within current phenomenological medical works, concerning both the role phenomenology plays and the supposedly clear divide between phenomenology and other approaches. There are significant problems within these claims, largely because they overlook the complexity of the questions they consider. Finally, there is some more in‐depth examination of phenomenology itself and the true complexity of phenomenological debate concerning subjectivity. The aim is to show that it will be both more productive and truer to phenomenology itself, if we use phenomenology as a philosophical method for explicating and gaining deeper understanding of complex and fundamental problems, which are central to medicine, rather than as providing simple, but flawed solutions. (shrink)

Proponents of evidence-based medicine have argued convincingly for applying this scientific method to medicine. However, the current methodological framework of the EBM movement has recently been called into question, especially in epidemiology and the philosophy of science. The debate has focused on whether the methodology of randomized controlled trials provides the best evidence available. This paper attempts to shift the focus of the debate by arguing that clinical reasoning involves a patchwork of evidential approaches and that the emphasis (...) on evidence hierarchies of methodology fails to lend credence to the common practice of corroboration in medicine. I argue that the strength of evidence lies in the evidence itself, and not the methodology used to obtain that evidence. Ultimately, when it comes to evaluating the effectiveness of medical interventions, it is the evidence obtained from the methodology rather than the methodology that should establish the strength of the evidence. (shrink)

Personalized medicine recommendation systems are increasing in popularity to predict diseases and provide customized health advice on diet, workout plans and medication. The medical suggestion system can be valuable when pandemics, floods, or cyclones hit. In the age of Machine Learning (ML), recommender systems give more accurate, precise, and reliable clinical predictions while using less resources. Through the use of machine learning algorithms like Decision Tree, Random Forest, K-Means Clustering, and Hierarchical Clustering, these systems analyze patient inputs such as (...) lifestyle data, symptoms, and health metrics for accurate predictions of diseases and holistic recommendations on health. This inclusive process ensures each person receives tailored support to enhance the entire management of their health. The system's ability to suggest accurate diets, proper workouts, and appropriate drugs depending on the condition of the user significantly enhances its contribution toward more healthy lifestyles. The variety of algorithms increases accuracy and reliability as well because each model contributes uniquely in analyzing various aspects of patient data. This study presents a framework that demonstrates the system's efficacy in providing personalized disease predictions and health recommendations, which can benefit the development of preventive care and improve treatment outcomes. (shrink)

This paper aims to clarify the nature of understanding in medicine. The first part describes in more detail what it means to understand something and links a type of understanding (i.e., objectual understanding) to explanations. The second part proceeds to investigate what objectual understanding of a disease (i.e., biomedical understanding) requires by considering the case of scurvy from the history of medicine. The main hypothesis is that grasping a mechanistic explanation of a condition is necessary for a biomedical (...) understanding of that condition. The third part of the paper argues that biomedical understanding is necessary, but not sufficient for understanding in a clinical context (i.e., clinical understanding). The hypothesis is that clinical understanding combines biomedical understanding of a _disease_ or pathological condition with understanding _illness,_ which involves some degree of personal understanding of the patient. It is argued that, in many cases, clinical understanding necessitates adopting a particular second-personal stance and using cognitive resources _in addition_ to those involved in biomedical understanding. (shrink)

In Deep Medicine, Eric Topol argues that the development of artificial intelligence (AI) for healthcare will lead to a dramatic shift in the culture and practice of medicine. Topol claims that, rather than replacing physicians, AI could function alongside of them in order to allow them to devote more of their time to face-to-face patient care. Unfortunately, these high hopes for AI-enhanced medicine fail to appreciate a number of factors that, we believe, suggest a radically different picture (...) for the future of healthcare. Far from facilitating a return to “the golden age of doctoring”, the role of economic and institutional considerations in determining how medical AI will be used mean that it is likely to further erode therapeutic relationships and threaten professional and patient satisfaction. (shrink)

According to recent approaches in the philosophy of medicine, biomedicine should be replaced or complemented by a humanistic medical model. Two humanistic approaches, narrative medicine and the phenomenology of medicine, have grown particularly popular in recent decades. This paper first suggests that these humanistic criticisms of biomedicine are insufficient. A central problem is that both approaches seem to offer a straw man definition of biomedicine. It then argues that the subsequent definition of humanism found in these approaches (...) is problematically reduced to a compassionate or psychological understanding. My main claims are that humanism cannot be sought in the patient–physician relationship alone and that a broad definition of medicine should help to revisit humanism. With this end in view, I defend what I call an outcomes-oriented approach to humanistic medicine, where humanism is set upon the capacity for a health system to produce good health outcomes. (shrink)

Mismatch is a prominent concept in evolutionary medicine, and a number of philosophers have published analyses of this concept. The word ‘mismatch’ has been used in a diversity of ways across a range of sciences, leading these authors to regard it as a vague concept in need of philosophical clarification. Here, in contrast, we concentrate on the use of mismatch in modelling and experimentation in evolutionary medicine. This reveals a rigorous theory of mismatch within which the term ‘mismatch’ (...) is indeed used in several ways, not because it is ill defined but because different forms of mismatch are distinguished within the theory. Contemporary evolutionary medicine has unified the idea of ‘evolutionary mismatch’, derived from the older idea of ‘adaptive lag’ in evolution, with ideas about mismatch in development and physiology derived from the developmental origins of health and disease (DOHaD) paradigm. A number of publications in evolutionary medicine have tried to make this theoretical framework explicit. We build on these to present the theory in as simple and general a form as possible. We introduce terminology, largely drawn from the existing literature, to distinguish the different forms of mismatch. This integrative theory of mismatch captures how organisms track environments across space and time on multiple scales in order to maintain an adaptive match to the environment, and how failures of adaptive tracking lead to disease. Mismatch is a productive organizing concept within this theory that helps researchers articulate how physiology, development, and evolution interact with one another and with environmental change to explain health outcomes. (shrink)

Cancer has garnered increasing interest among philosophers. This chapter focuses on cancer medicine and precision oncology, an influential approach to cancer which seeks to individualize treatment on the basis of genetic or molecular features of disease. It reviews a range of ontological, epistemic, and ethical questions raised by precision oncology, relating developments in cancer medicine to broader issues in the philosophy of science and medicine.

The project is aimed at an arduous task of precise identification of medicinal plant species with the problem being pertinent in those industries that include botany, Ayurveda, pharmacology, and biomedical research. Most of the traditional identification methods are quite serious challenges for users, researchers, and students because they are usually time-consuming, knowledge-intensive, and prone to human errors. Our proposal develops an advanced web-based application for this process by utilizing state-of-the-art methods in image processing and machine learning. We will create a (...) platform where users can upload or take pictures of plant specimens and obtain accurate identifications and comprehensive medical information by using machine learning algorithms with plant species image datasets. This application is done in a way that the interface would be user-friendly and favor research, identification, and learning, especially for Ayurvedic practitioners, biomedical specialists, botanists, and students. Therefore, our project is aimed at developing an exhaustive and reliable solution for medicinal plant identification and study by overcoming the deficiencies of existing systems, such as a small dataset, poor variable quality, and lack of complete medicinal information. (shrink)

This project aims to develop an intelligent system that can accurately identify and classify medicinal herbs using advanced machine learning techniques and image processing. Medicinal herbs have been a cornerstone of traditional medicine for centuries, and the ability to identify them with precision can play a significant role in modern healthcare, research, and conservation efforts. This system utilizes deep learning models to analyze images of plants and herbs, enabling the identification of species based on their physical features such as (...) shape, size, color, and texture of leaves, flowers, and stems. The system incorporates Convolutional Neural Networks (CNNs), a powerful technique in image recognition, to achieve high accuracy in classifying different medicinal plants. The dataset used for training includes a wide variety of herbs known for their medicinal properties, ensuring the system's versatility and reliability. The user-friendly interface allows users to upload images of plants, after which the system processes the image, compares it with the trained dataset, and provides a possible match along with information about the herb's medicinal uses, benefits, and any potential side effects. This project can serve as an essential tool for herbalists, researchers, and the general public to access accurate information about medicinal plants. (shrink)

Recently, dramatic price increases by several pharmaceutical companies have provoked public outrage. These scandals raise questions both about how pharmaceutical firms should be regulated and about how pharmaceutical executives ethically ought to make pricing decisions when drug prices are largely unregulated. Though there is an extensive literature on the regulatory question, the ethical question has been largely unexplored. This article defends a Kantian approach to the ethics of pharmaceutical pricing in an unregulated market. To the extent possible, pharmaceutical companies must (...) price drugs so that those who genuinely need them can get them without financial ruin. This requirement is an ethical side constraint, like the moral prohibitions on deception and theft, that takes precedence over a business’s interest in maximizing profit. That said, the requirement’s application is sensitive to the need to recoup the costs of research and to produce a return that financially justifies the original investment. It may not be either feasible or desirable for government to attempt to enforce the ethical requirements concerning just pharmaceutical pricing. Either price regulation or subsidy could fulfill government’s obligation to protect patients from being objectionably vulnerable to pricing decisions by private companies. (shrink)

The literature on conscientious objection in medicine presents two key problems that remain unresolved: Which conscientious objections in medicine are justified, if it is not feasible for individual medical practitioners to conclusively demonstrate the genuineness or reasonableness of their objections? How does one respect both medical practitioners’ claims of conscience and patients’ interests, without leaving practitioners complicit in perceived or actual wrongdoing? My aim in this paper is to offer a new framework for conscientious objections in medicine, (...) which, by bringing medical professionals’ conscientious objection into the public realm, solves the justification and complicity problems. In particular, I will argue that: an “Uber Conscientious Objection in Medicine Committee” —which includes representatives from the medical community and from other professions, as well as from various religions and from the patient population—should assess various well-known conscientious objections in medicine in terms of public reason and decide which conscientious objections should be permitted, without hearing out individual conscientious objectors; medical practitioners should advertise their conscientious objections, ahead of time, in an online database that would be easily accessible to the public, without being required, in most cases, to refer patients to non-objecting practitioners. (shrink)

Loneliness in medicine is a serious problem not just for patients, for whom illness is intrinsically isolating, but also for physicians in the contemporary condition of medicine. We explore this problem by investigating the ideal physician-patient relationship, whose analogy with friendship has held enduring normative appeal. Drawing from Talbot Brewer and Nir Ben-Moshe, we argue that this appeal lies in a dynamic form of companionship incompatible with static models of friendship-like physician-patient relationships: a mutual refinement of embodied virtue (...) that draws both persons together. The ideal physician-patient relationship has a dialectical character that fosters each member's improvement of phenomenologically recognizing and embodying moral virtues. A key component of this dynamic is a commitment to the common goal of the patient's health, realized through joint interactivities and conversations over time. The physician's presence to the patient's suffering—understood best as an alienating phenomenological condition for the patient—orients and discloses possibilities for virtuous caregiving by structuring the meanings of the goals, conversations, and joint narrative constitutive of their relationship. Presence to suffering, paradoxically, is perhaps an important prerequisite for this dynamic partnership. These activities dialectically build an interpretive horizon of understanding through which moral goods and character refinement—in and for the other—may become revealed for both persons in their shared being-in-the-world. This analysis of suffering, mood, and revealing of (possible) moral goods has implications for addressing the modern problem of loneliness for patients and physicians, who are increasingly inhibited from building flourishing relationships with each other. (shrink)