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Bøger af Matti (University of Manchester) Hayry

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  • - Making People Better?
    af Matti Hayry
    461,95 - 812,95 kr.

    Should we make people healthier, smarter, and longer-lived if genetic and medical advances enable us to do so? Matti Hayry asks this question in the context of genetic testing and selection, cloning and stem cell research, gene therapies and enhancements. The ethical questions explored include parental responsibility, the use of people as means, the role of hope and fear in risk assessment, and the dignity and meaning of life. Taking as a starting point the arguments presented by Jonathan Glover, John Harris, Ronald M. Green, Jurgen Habermas, Michael J. Sandel, and Leon R. Kass, who defend a particular normative view as the only rational or moral answer, Matti Hayry argues that many coherent rationalities and moralities exist in the field, and that to claim otherwise is mistaken.

  • - European Perspectives
    af Matti Hayry, Ruth Chadwick, Vilhjalmur Arnason & mfl.
    400,95 - 1.220,95 kr.

    The Medical Biobank of Umea in Sweden, deCODE's Health Sector Database in Iceland, the Estonian Genome Project and the UK Biobank contain health data and genetic data from large populations. Some include genealogical or lifestyle information. They are resources for research in human genetics and medicine, exploring interaction between genes, lifestyle, environmental factors and health and diseases. The collection, storage and use of this data raise ethical, legal and social issues. In this book, first published in 2007, bioethics scholars examine whether existing ethical frameworks and social policies reflect people's concerns, and how they may need to change in light of new scientific and technological developments. The ethical issues of social justice, genetic discrimination, informational privacy, trust in science and consent to participation in database research are analyzed, whilst an empirical survey, conducted in the four countries, demonstrates public views of privacy and related moral values in the context of human genetic databases.

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