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  1. The Human Fertilisation and Embryology Act 2008: a missed opportunity?A. Alghrani - 2009 - Journal of Medical Ethics 35 (12):718-719.
    The Human Fertilisation and Embryology Act 2008: a missed opportunity?Amel AlghraniCorrespondence to Dr Amel Alghrani, Institute for Science, Ethics and Innovation, Centre for Social Ethics and Policy, School of Law, University of Manchester, Oxford Road, Manchester, M13 9PL; [email protected] 16 September 2009 Accepted 24 September 2009 Regulating reproduction is no easy feat. In the past three decades we have witnessed a reproductive revolution and great strides have been made to alleviate the effects of infertility. Reproductive advances such as in-vitro fertilisation (...)
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  • Reproductive ectogenesis: The third era of human reproduction and some moral consequences.Stellan Welin - 2004 - Science and Engineering Ethics 10 (4):615-626.
    In a well known story Derek Parfit describes a disconnection between two entities that normally (in real life) travel together through space and time, namely your personal identity consisting of both mind and body. Realising the possibility of separation, even if it might never happen in real life, new questions arise that cast doubt on old solutions. In human reproduction, in real life, at present the fetus spends approximately nine months inside the pregnant woman. But, we might envisage other possibilities. (...)
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  • Artificial womb technology and the frontiers of human reproduction: conceptual differences and potential implications.Elizabeth Chloe Romanis - 2018 - Journal of Medical Ethics 44 (11):751-755.
    In 2017, a Philadelphia research team revealed the closest thing to an artificial womb the world had ever seen. The ‘biobag’, if as successful as early animal testing suggests, will change the face of neonatal intensive care. At present, premature neonates born earlier than 22 weeks have no hope of survival. For some time, there have been no significant improvements in mortality rates or incidences of long-term complications for preterms at the viability threshold. Artificial womb technology, that might change these (...)
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  • Assisted gestative technologies.Elizabeth Chloe Romanis - 2022 - Journal of Medical Ethics 48 (7):439-446.
    A large body of literature considers the ethico-legal and regulatory issues surrounding assisted conception. Surrogacy, however, within this body of literature is an odd-fit. It involves a unique demand of another person—a form of reproductive labour—that many other aspects of assisted conception, such as gamete donation do not involve. Surrogacy is a form of assisted gestation. The potential alternatives for individuals who want a genetically related child but who do not have the capacity to gestate are ever increasing: with the (...)
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  • Neonatal incubator or artificial womb? Distinguishing ectogestation and ectogenesis using the metaphysics of pregnancy.Elselijn Kingma & Suki Finn - 2020 - Bioethics 34 (4):354-363.
    A 2017 Nature report was widely touted as hailing the arrival of the artificial womb. But the scientists involved claim their technology is merely an improvement in neonatal care. This raises an under-considered question: what differentiates neonatal incubation from artificial womb technology? Considering the nature of gestation—or metaphysics of pregnancy—(a) identifies more profound differences between fetuses and neonates/babies than their location (in or outside the maternal body) alone: fetuses and neonates have different physiological and physical characteristics; (b) characterizes birth as (...)
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  • Should we be afraid of medical AI?Ezio Di Nucci - 2019 - Journal of Medical Ethics 45 (8):556-558.
    I analyse an argument according to which medical artificial intelligence represents a threat to patient autonomy—recently put forward by Rosalind McDougall in the Journal of Medical Ethics. The argument takes the case of IBM Watson for Oncology to argue that such technologies risk disregarding the individual values and wishes of patients. I find three problems with this argument: it confuses AI with machine learning; it misses machine learning’s potential for personalised medicine through big data; it fails to distinguish between evidence-based (...)
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