Results for 'Biomedical model'

977 found
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  1. Biomedical Models of Reproduction in the Fifth Century BC and Aristotle's Generation of Animals.Andrew Coles - 1995 - Phronesis 40 (1):48-88.
  2. The biomedical model and the biopsychosocial model in medicine.Fred Gifford - 2016 - In Miriam Solomon, Jeremy R. Simon & Harold Kincaid (eds.), The Routledge Companion to Philosophy of Medicine. New York, NY: Routledge.
     
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  3. The biomedical model and just health care: Reply to Jecker.Norman Daniels - 1989 - Journal of Medicine and Philosophy 14 (6):677-680.
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  4.  22
    Seeking a new biomedical model. How evolutionary biology may contribute.Stephen Lewis - 2009 - Journal of Evaluation in Clinical Practice 15 (4):745-748.
    The medical profession is not to blame for the limitations of the biomedical model with which it is often associated; the biology upon which that model is built is incomplete and bears some of the responsibility. Some of the more fundamental aspects of biological theory which are currently missing from the biomedical model need to be introduced in order to help provide a better description of the integrated biology involved. AIMS AND OBJECTIVES: By considering the (...)
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  5. Stigma and the politics of biomedical models of mental illness.Angela K. Thachuk - 2011 - International Journal of Feminist Approaches to Bioethics 4 (1):140-163.
    This paper offers a critical analysis of the strategic use of biomedical models of mental illness as a means of challenging stigma. Likening mental illnesses to physical illnesses reinforces notions that persons with mental illnesses are of a fundamentally “different kind,” entrenches misperceptions that they are inherently more violent, and promotes overreliance on diagnostic labeling and pharmaceutical treatments. I conclude that too much has been invested in the claim that the body is somehow morally neutral, and that advocates of (...)
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  6.  29
    Heidegger, Gestell and rehabilitation of the biomedical model.Donald S. Borrett - 2013 - Journal of Evaluation in Clinical Practice 19 (3):497-500.
  7.  30
    Beyond the biomedical model.Palliative Care - 2005 - HEC Forum 17 (3):227-236.
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  8.  31
    The Red Fish in a Shoal of Greenish‐Blue Fish? A Critique of the Biomedical Model of Autism Spectrum Disorder.Joyce Leysen, Delphine Jacobs & Stefan Ramaekers - 2021 - Educational Theory 71 (4):435-454.
    Educational Theory, Volume 71, Issue 4, Page 435-454, August 2021.
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  9.  16
    Overcoming Therapeutic Nihilism Without Abandoning the Biomedical Model of Psychopathy.Chris Zarpentine - 2013 - American Journal of Bioethics Neuroscience 4 (2):10-11.
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  10.  94
    Biomedical Big Data: New Models of Control Over Access, Use and Governance.Alessandro Blasimme & Effy Vayena - 2017 - Journal of Bioethical Inquiry 14 (4):501-513.
    Empirical evidence suggests that while people hold the capacity to control their data in high regard, they increasingly experience a loss of control over their data in the online world. The capacity to exert control over the generation and flow of personal information is a fundamental premise to important values such as autonomy, privacy, and trust. In healthcare and clinical research this capacity is generally achieved indirectly, by agreeing to specific conditions of informational exposure. Such conditions can be openly stated (...)
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  11. Specialists without spirit: Limitations of the mechanistic biomedical model.Soma Hewa & Robert W. Hetherington - 1995 - Theoretical Medicine and Bioethics 16 (2).
    This paper examines the origin and the development of the mechanistic model of the human body and health in terms of Max Weber's theory of rationalization. It is argued that the development of Western scientific medicine is a part of the broad process of rationalization that began in sixteenth century Europe as a result of the Reformation. The development of the mechanistic view of the human body in Western medicine is consistent with the ideas of calculability, predictability, and control (...)
     
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  12. Two models of models in biomedical research.Hugh LaFollette & Niall Shanks - 1995 - Philosophical Quarterly 45 (179):141-160.
    Biomedical researchers claim there is significant biomedical information about humans which can be discovered only through experiments on intact animal systems (AMA p. 2). Although epidemiological studies, computer simulations, clinical investigation, and cell and tissue cultures have become important weapons in the biomedical scientists' arsenal, these are primarily "adjuncts to the use of animals in research" (Sigma Xi p. 76). Controlled laboratory experiments are the core of the scientific enterprise. Biomedical researchers claim these should be conducted (...)
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  13.  52
    Animal models in biomedical research: Some epistemological worries.Hugh LaFollette & Niall Shanks - 1993 - Public Affairs Quarterly 7 (2):113-130.
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  14. Disease models and reductionist thinking in the biomedical sciences.Giorgio Bignami - 1982 - In Steven Peter Russell Rose & Dialectics of Biology Group (eds.), Against Biological Determinism. New York, N.Y.: Distributed in the USA by Schocken Books.
     
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  15.  57
    Are We Prosaic Deep Inside?: Depression Memoirs, Resourceful Narratives, and the Biomedical Model of Depression.Anne E. Johnson - 2017 - Philosophy, Psychiatry, and Psychology 24 (4):299-301.
    In “Prozac or Prosaic Diaries?”, Ginger Hoffman and Jennifer Hansen examine gendered messages in popular depression memoirs, using narrative self-constitution theory to emphasize the damaging effects such messages can have on women readers. In doing so, they bring a welcome feminist perspective to matters of mental health, as well as raising thought-provoking questions about depression memoirs, a genre that can have a far-reaching impact on public opinions about mental illness. Overall, Hoffman and Hansen do an excellent job of explaining the (...)
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  16.  39
    Alternative consent models for biobanks: The new spanish law on biomedical research.Antonio Casado da Rocha & José Antonio Seoane - 2008 - Bioethics 22 (8):440-447.
    This article provides an overview of recent contributions to the debate on the ethical use of previously collected biobank samples, as well as a country report about how this issue has been regulated in Spain by means of the new Biomedical Research Act, enacted in the summer of 2007. By contrasting the Spanish legal situation with the wider discourse of international bioethics, we identify and discuss a general trend moving from the traditional requirements of informed consent towards new models (...)
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  17.  56
    A biobank management model applicable to biomedical research.Christiane Auray-Blais & Johane Patenaude - 2006 - BMC Medical Ethics 7 (1):1-9.
    Background The work of Research Ethics Boards (REBs), especially when involving genetics research and biobanks, has become more challenging with the growth of biotechnology and biomedical research. Some REBs have even rejected research projects where the use of a biobank with coded samples was an integral part of the study, the greatest fear being the lack of participant protection and uncontrolled use of biological samples or related genetic data. The risks of discrimination and stigmatization are a recurrent issue. In (...)
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  18.  35
    Alternative consent models for biobanks: The new spanish law on biomedical research.Antonio Casado Rochdaa & José Antonio Seoane - 2008 - Bioethics 22 (8):440-447.
    This article provides an overview of recent contributions to the debate on the ethical use of previously collected biobank samples, as well as a country report about how this issue has been regulated in Spain by means of the new Biomedical Research Act, enacted in the summer of 2007. By contrasting the Spanish legal situation with the wider discourse of international bioethics, we identify and discuss a general trend moving from the traditional requirements of informed consent towards new models (...)
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  19. The biomedical paradigm and the nobel prize: Is it time for a change?Laurence Foss - 1998 - Theoretical Medicine and Bioethics 19 (6):621-644.
    An examination of the early history of Nobel Committee deliberations, coupled with a survey of discoveries for which prizes have been awarded to date – and, equally revealing, discoveries for which prizes have not been awarded – reveals a pattern. This pattern suggests that Committee members may have internalized the received, biomedical model and conferred awards in accord with the physicalistic premises that ground this model. I consider the prospect of a paradigm change in medical science and (...)
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  20. How Do Engineering Scientists Think? Model‐Based Simulation in Biomedical Engineering Research Laboratories.Nancy J. Nersessian - 2009 - Topics in Cognitive Science 1 (4):730-757.
    Designing, building, and experimenting with physical simulation models are central problem‐solving practices in the engineering sciences. Model‐based simulation is an epistemic activity that includes exploration, generation and testing of hypotheses, explanation, and inference. This paper argues that to interpret and understand how these simulation models function in creating knowledge and technologies requires construing problem solving as accomplished by a researcher–artifact system. It draws on and further develops the framework of “distributed cognition” to interpret data collected in ethnographic and cognitive‐historical (...)
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  21.  36
    Prediction via Similarity: Biomedical Big Data and the Case of Cancer Models.Giovanni Valente, Giovanni Boniolo & Fabio Boniolo - 2023 - Philosophy and Technology 36 (1):1-20.
    In recent years, the biomedical field has witnessed the emergence of novel tools and modelling techniques driven by the rise of the so-called Big Data. In this paper, we address the issue of predictability in biomedical Big Data models of cancer patients, with the aim of determining the extent to which computationally driven predictions can be implemented by medical doctors in their clinical practice. We show that for a specific class of approaches, called k-Nearest Neighbour algorithms, the ability (...)
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  22. Biomedical Signal Processing--Time Series Analysis-The Use of Multivariate Autoregressive Modelling for Analyzing Dynamical Physiological Responses of Individual Critically Ill Patients.Kristien Van Aerts Loon, Geert Berghe Meyfroidt & Daniel Berckmans - 2006 - In O. Stock & M. Schaerf (eds.), Lecture Notes In Computer Science. Springer Verlag. pp. 285-297.
  23.  33
    The chick embryo: hatching a model for contemporary biomedical research.Hassan Rashidi & Virginie Sottile - 2009 - Bioessays 31 (4):459-465.
    Animal models play a crucial role in fundamental and medical research. Progress in the fields of drug discovery, regenerative medicine and cancer research among others are heavily dependent on in vivo models to validate in vitro observations, and develop new therapeutic approaches. However, conventional rodent and large animal experiments face ethical, practical and technical issues that limit their usage. The chick embryo represents an accessible and economical in vivo model, which has long been used in developmental biology, gene expression (...)
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  24.  18
    Worries about Animal Models in Biomedical Research a Response to Lafollette and Shanks.Lynn R. Willis & Martin G. Hulsey - 1994 - Public Affairs Quarterly 8 (2):205-218.
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  25.  47
    ABioNER: A BERT-Based Model for Arabic Biomedical Named-Entity Recognition.Nada Boudjellal, Huaping Zhang, Asif Khan, Arshad Ahmad, Rashid Naseem, Jianyun Shang & Lin Dai - 2021 - Complexity 2021:1-6.
    The web is being loaded daily with a huge volume of data, mainly unstructured textual data, which increases the need for information extraction and NLP systems significantly. Named-entity recognition task is a key step towards efficiently understanding text data and saving time and effort. Being a widely used language globally, English is taking over most of the research conducted in this field, especially in the biomedical domain. Unlike other languages, Arabic suffers from lack of resources. This work presents a (...)
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  26.  14
    Alternative Consent Models for Biobanks: The New Spanish Law on Biomedical Research.Antoniocasado Darocha - 2008 - Bioethics 22 (8):440-447.
    This article provides an overview of recent contributions to the debate on the ethical use of previously collected biobank samples, as well as a country report about how this issue has been regulated in Spain by means of the new Biomedical Research Act, enacted in the summer of 2007. By contrasting the Spanish legal situation with the wider discourse of international bioethics, we identify and discuss a general trend moving from the traditional requirements of informed consent towards new models (...)
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  27.  24
    Biomedical Ethics and Regulatory Capacity Building Partnership for Portuguese-Speaking African Countries (BERC-Luso): A pioneering project.M. Patrão Neves & J. P. B. Batista - 2021 - South African Journal of Bioethics and Law 14 (3):79-83.
    Biomedical research has a strong impact on a country’s scientific-technological and socioeconomic development. It can make a significant contribution at three different levels: promotion of public health; the exchange of knowledge within the scientific community; and economic/ financial profitability. Africa only attracts ~3.3% of the world’s clinical research. This small proportion is due to, among several factors, the absence of two fundamental aspects: specific robust legislation and capacity for regulatory and ethical evaluation. There are five Portuguese- speaking African countries (...)
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  28.  28
    Mousetraps and How to Avoid Them: The Convergence of Utilitarian and Scientific Cases for Limiting the Mouse Model in Biomedical Research.Cynthia Townley & Brett Lidbury - 2012 - Between the Species 15 (1):5.
    The primary aim of biomedical research is to discover and develop new knowledge to advance human medicine. Frequently a ‘mouse model’ is taken to be a necessary step towards understanding a disease, biological mechanism or intervention. We argue for caution with respect to the mouse model: theoretical reasons, meta-analyses of empirical data, and viable alternatives all support a more restricted use of animals in laboratories than is current practice. On its own terms, a utilitarian scientific justification for (...)
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  29.  41
    From replica to instruments: animal models in biomedical research.Pierre-Luc Germain - 2014 - History and Philosophy of the Life Sciences 36 (1):114-128.
    The ways in which other animal species can be informative about human biology are not exhausted by the traditional picture of the animal model. In this paper, I propose to distinguish two roles which laboratory organisms can have in biomedical research. In the more traditional case, organisms act as surrogates for human beings, and as such are expected to be more manageable replicas of humans. However, animal models can inform us about human biology in a much less straightforward (...)
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  30.  46
    Analogical reasoning with animal models in biomedical research.Cameron Shelley - 2006 - In L. Magnani (ed.), Model Based Reasoning in Science and Engineering. College Publications. pp. 203--213.
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  31. Research Materials and Model Organisms in the Biological and Biomedical Sciences-Introduction: Research Materials and Model Organisms in the Biological and Biomedical Sciences.Gerald L. Geison & Angela N. H. Creager - 1999 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 30 (3):315-318.
  32.  19
    After turing: mathematical modelling in the biomedical and social sciences.James D. Murray - 2012 - In S. Barry Cooper (ed.), How the World Computes. pp. 517--527.
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  33.  16
    The Hair Follicle as an Interdisciplinary Model for Biomedical Research: An Eclectic Literature Synthesis.Iain S. Haslam & Ralf Paus - 2020 - Bioessays 42 (11):2000053.
    Skin is a comparatively accessible organ possessing many conserved regulatory and signaling pathways, drawing researchers from varied fields toward its study. Hair follicle (HF) biology in particular has expanded rapidly over the preceding decade, helping to shape and develop scientific knowledge across diverse areas of biomedical research, beyond the skin. The hope in compiling this review is to inspire more researchers to utilize the HF as an instructive biological model, bringing with them fresh perspectives and experience from differing (...)
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  34.  54
    Animal Models in Translational Research: Rosetta Stone or Stumbling Block?Jessica A. Bolker - 2017 - Bioessays 39 (12):1700089.
    Leading animal models are powerful tools for translational research, but they also present obstacles. Poorly conducted preclinical research in animals is a common cause of translational failure, but even when such research is well-designed and carefully executed, challenges remain. In particular, dominant models may bias research directions, elide essential aspects of human disease, omit important context, or subtly shift research targets. Recognizing these stumbling blocks can help us find ways to avoid them: employing a wider range of models, incorporating more (...)
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  35.  9
    The Sense and Value of Privacy, and Risk Model: Focusing on Biomedical Big Data.Kwangsu Mok - 2020 - Journal of the Society of Philosophical Studies 63:159-192.
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  36. Biomedical Ontologies.Barry Smith - 2023 - In Peter L. Elkin (ed.), Terminology, Ontology and their Implementations. Cham, Switzerland: Springer Nature. pp. 125-169.
    We begin at the beginning, with an outline of Aristotle’s views on ontology and with a discussion of the influence of these views on Linnaeus. We move from there to consider the data standardization initiatives launched in the 19th century, and then turn to investigate how the idea of computational ontologies developed in the AI and knowledge representation communities in the closing decades of the 20th century. We show how aspects of this idea, particularly those relating to the use of (...)
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  37.  27
    The history of resistant rickets: A model for understanding the growth of biomedical knowledge.Christiane Sinding - 1989 - Journal of the History of Biology 22 (3):461-495.
    Two essential periods may be identified in the early stages of the history of vitamin D-resistant rickets. The first was the period during which a very well known deficiency disease, rickets, acquired a scientific status: this required the development of unifying principles to confer upon the newly developing science of pathology a doctrine without which it would have been condemned to remain a collection of unrelated facts with very little practical application. One first such unifying principle was provided by the (...)
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  38.  18
    Toward Good Simulation Practice: Best Practices for the Use of Computational Modelling and Simulation in the Regulatory Process of Biomedical Products.Marco Viceconti & Luca Emili (eds.) - 2024 - Springer Nature Switzerland.
    In this open access book, the Community of Practice led by the VPH Institute, the Avicenna Alliance, and the In Silico World consortium has brought together 138 experts in In Silico Trials working in academia, the medical industry, regulatory bodies, hospitals, and consulting firms. Through a consensus process, these experts produced the first attempt to define some Good Simulation Practices on how to develop, evaluate, and use In Silico Trials. Good Simulation Practice constitutes an indispensable guide for anyone who is (...)
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  39.  30
    From vulnerable subjects to research partners: a critical policy analysis of biomedical research ethics guidelines and regulations.Maria Cristina Murano - 2024 - Research Ethics 20 (3):539-558.
    Over the last three quarters of a century, international guidelines and regulations have undergone significant changes in how children are problematised as participants in biomedical research. While early guidelines enacted children as vulnerable subjects with diminished autonomy and in need of special protection, beginning in the early 2000s, international regulatory frameworks defined the paediatric population as vulnerable due to unaddressed public health needs. More recently, ethical recommendations have promoted the active engagement of minors as research partners. In this paper, (...)
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  40.  24
    Sudden Infant Deaths: models of health and illness.David Greaves - 1988 - Journal of Applied Philosophy 5 (1):61-74.
    ABSTRACT The assumptions underlying the traditional biomedical model of health and illness and criticisms of it are described. An examination of the historical development of ideas concerning cot (crib) deaths shows how early explanations, which were congruent with this model, came to be discredited. Because subsequent explanations have also been considered unsatisfactory, cot deaths have come to be regarded as medically problematic. The relationship of models of health and illness to cot deaths has therefore been exposed to (...)
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  41.  16
    Developing a State University System Model to Diversify Faculty in the Biomedical Sciences.Robin Herlands Cresiski, Cynthia Anne Ghent, Janet C. Rutledge, Wendy Y. Carter-Veale, Jennifer Aumiller, John Carlo Bertot, Blessing Enekwe, Erin Golembewski, Yarazeth Medina & Michael S. Scott - 2022 - Frontiers in Psychology 13.
    Amid increasing demands from students and the public, universities have recently reinvigorated their efforts to increase the number of faculty from underrepresented populations. Although a myriad of piecemeal programs targeting individual recruitment and development have been piloted at several institutions, overall growth in faculty diversity remains almost negligible and highly localized. To bring about genuine change, we hypothesize a consortia approach that links individuals to hiring opportunities within a state university system might be more effective. Here we present a case (...)
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  42.  56
    Is Data Science Transforming Biomedical Research? Evidence, Expertise and Experiments in COVID-19 Science.Sabina Leonelli - unknown
    Biomedical deployments of data science capitalise on vast, heterogeneous data sources. This promotes a diversified understanding of what counts as evidence for health-related interventions, beyond the strictures associated with evidence-based medicine. Focusing on COVID-19 transmission and prevention research, I consider the epistemic implications of this diversification of evidence in relation to: (1) experimental design, especially the revival of natural experiments as sources of reliable epidemiological knowledge; and (2) modelling practices, particularly the recognition of transdisciplinary expertise as crucial to developing (...)
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  43.  20
    Health technologist in clinical laboratory’s professional training model from the integration of basic biomedical-laboratory sciences.Mercedes Caridad García González, Enrique Loret de Mola López, Rolando Miguel Bermejo Correa, José Luis Cadenas Freixas & Humberto Silvio Varela de Moya - 2018 - Humanidades Médicas 18 (2):239-257.
    RESUMEN El presente trabajo está dirigido a exponer elementos inherentes al modelo de superación profesional del tecnólogo de la salud en laboratorio clínico desde la integración ciencias básicas biomédicas-laboratorio. Entre los métodos teóricos empleados, el analítico-sintético permitió la determinación de los fundamentos epistemológicos y praxiológicos del proceso de superación, el inductivo-deductivo posibilitó la determinación de las categorías que surgen en el proceso investigativo, el sistémico estructural funcional para fundamentar el carácter de sistema del modelo y la modelación con la finalidad (...)
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  44.  46
    Discussing the use of animal models in biomedical research via role play simulation.Alessandro Siani - 2018 - International Journal of Ethics Education 4 (1):43-55.
    Educational institutions have a responsibility not only to provide a solid theoretical background on scientific phenomena, but to also frame them within the wider social context and highlight their numerous ethical implications. It is fundamental that tomorrow’s scientists be encouraged to develop an informed and critical approach towards scientific issues that, as in the case of animal experimentation, bring undeniable advantages to our society while carrying highly controversial moral implications. However, despite the considerable social and scientific relevance of the use (...)
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  45.  17
    Model biomedyczny w psychopatologii. Krytyczny szkic historyczny, współczesny kontekst i problemy etyczne.Radosław Stupak - 2020 - Diametros 17 (66):1-18.
    Artykuł prezentuje krytyczny szkic historyczny i charakterystykę biomedycznego modelu psychopatologii, koncentrując się na drugiej połowie XX w. Wskazuje i opisuje także kluczowe problemy związane z jego dominacją we współczesnej praktyce klinicznej i badawczej. Problemy te dotyczą, m. in., trafności i rzetelności diagnoz psychiatrycznych, metodologii badań, skuteczności leczenia, czy też wpływów koncernów farmaceutycznych na działalność naukową i terapeutyczną. Poważne konceptualne problemy całego modelu stawiają pod znakiem zapytania fundamenty współczesnej psychiatrii oraz opartą na nich wiedzę. Nie udało się stworzyć przekonujących biologicznych wyjaśnień (...)
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  46.  14
    Categories of health and disease/illness in the philosophy of medicine: biomedical and humanistic models.О. С Гилязова - 2023 - Siberian Journal of Philosophy 21 (2):81-92.
    The categories of health and disease/illness are conceptualized from the perspective of the philosophy of medicine. Philosophical contradictions are revealed, which, fueling the debate between naturalism and normativism, prevent biomedicine from developing a single satisfactory understanding of these categories. The theoretical and practical consequences of such biomedicine features as pathocentrism, identification of health with complete well-being, dichotomy of health and disease in the absence of a clear criterion for their differentiation are analyzed. The role of humanistic approaches to the medicine (...)
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  47.  16
    Reductionism in the biomedical sciences.Holly K. Andersen - 2016 - In Miriam Solomon, Jeremy R. Simon & Harold Kincaid (eds.), The Routledge Companion to Philosophy of Medicine. New York, NY: Routledge.
    This chapter discusses several kinds of reduction that are often found in the biomedical sciences, in contrast to reduction in fields such as physics. This includes reduction as a methodological assumption for how to investigate phenomena like complex diseases, and reduction as a conceptual tool for relating distinct models of the same phenomenon. The case of Parkinson’s disease illustrates a wide variety of ways in which reductionism is an important tool in medicine.
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  48. (1 other version)Model organisms as models: Understanding the 'lingua Franca' of the human genome project.Rachel A. Ankeny - 2001 - Proceedings of the Philosophy of Science Association 2001 (3):S251-.
    Through an examination of the actual research strategies and assumptions underlying the Human Genome Project (HGP), it is argued that the epistemic basis of the initial model organism programs is not best understood as reasoning via causal analog models (CAMs). In order to answer a series of questions about what is being modeled and what claims about the models are warranted, a descriptive epistemological method is employed that uses historical techniques to develop detailed accounts which, in turn, help to (...)
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  49.  94
    Limits of Autonomy in Biomedical Ethics? Conceptual Clarifications.Theda Rehbock - 2011 - Cambridge Quarterly of Healthcare Ethics 20 (4):524-532.
    In biomedical ethics the principle of autonomy is closely connected with the moral and legal claim to informed consent. After World War II and the dramatic misuse of medicine in Nazi Germany, informed consent regulations were expected to help avoid similar misuse in the future, to help overcome the traditional medical paternalism, and to advance the liberty rights of patients and human subjects of research. With the rise of the new field of bioethics in the 1970s, the traditional beneficence-based (...)
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  50. Biomedical ontology alignment: An approach based on representation learning.Prodromos Kolyvakis, Alexandros Kalousis, Barry Smith & Dimitris Kiritsis - 2018 - Journal of Biomedical Semantics 9 (21).
    While representation learning techniques have shown great promise in application to a number of different NLP tasks, they have had little impact on the problem of ontology matching. Unlike past work that has focused on feature engineering, we present a novel representation learning approach that is tailored to the ontology matching task. Our approach is based on embedding ontological terms in a high-dimensional Euclidean space. This embedding is derived on the basis of a novel phrase retrofitting strategy through which semantic (...)
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