front cover of Alterity
Alterity
Jean-Michel Oughourlian
Michigan State University Press, 2023
Through the lens of mimetic theory, distinguished French psychiatrist Jean-Michel Oughourlian shows how to spot and address rivalry in our lives and become open to healthier, more genuine relationships. This important study demonstrates the toxic and pathogenic mechanisms at work in physical ailments and mental disturbances and reveals a common cause: alterity, the other. Oughourlian maintains that the real question in attempting to resolve issues of rivalry is not “What is your problem?” but rather “Who is your problem?” This type of discord with the other—be it a friend, colleague, or family member—becomes visible through generalized stress. This stress manifests in psychosomatic symptoms and may even contribute to the development of organic diseases. The most important factor in healing these maladies, then, is to recognize the other with whom we are in rivalry.
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front cover of Hidden Arguments
Hidden Arguments
Political Ideology and Disease Prevention Policy
Sylvia Noble Tesh
Rutgers University Press, 1988
In this provocative book, Sylvia Tesh shows how "politics masquerades as science" in the debates over the causes and prevention of disease. Tesh argues that ideas about the causes of disease which dominate policy at any given time or place are rarely determined by scientific criteria alone. The more critical factors are beliefs about how much government can control industry, who should take risks when scientists are uncertain, and whether the individual or society has the ultimate responsibility for health. Tesh argues that instead of lamenting the presence of this extra-scientific reasoning, it should be brought out of hiding and welcomed. She illustrates her position by analyzing five different theories of disease causality that have vied for dominance during the nineteenth and twentieth centuries, and discusses in detail the political implications of each theory. Tesh also devotes specific chapters to the multicausal theory of disease, to health education policy in Cuba, to the 1981 air traffic controller's strike, to the debate over Agent Orange, and to an analysis of science as a belief system.

Along the way she makes these principal points: She criticizes as politically conservative the idea that diseases result from a multifactorial web of causes. Placing responsibility for disease prevention on "society" is ideological, she argues. In connection with the air traffic controllers she questions whether it is in a union's best interests to claim that workers' jobs are stressful. She shows why there are no entirely neutral answers to questions about the toxicity of environmental pollutants. In a final chapter, Tesh urges scientists to incorporate egalitarian values into their search for the truth, rather than pretending science can be divorced from that political ideology.
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front cover of Network Medicine
Network Medicine
Complex Systems in Human Disease and Therapeutics
Joseph Loscalzo
Harvard University Press, 2017

Big data, genomics, and quantitative approaches to network-based analysis are combining to advance the frontiers of medicine as never before. Network Medicine introduces this rapidly evolving field of medical research, which promises to revolutionize the diagnosis and treatment of human diseases. With contributions from leading experts that highlight the necessity of a team-based approach in network medicine, this definitive volume provides readers with a state-of-the-art synthesis of the progress being made and the challenges that remain.

Medical researchers have long sought to identify single molecular defects that cause diseases, with the goal of developing silver-bullet therapies to treat them. But this paradigm overlooks the inherent complexity of human diseases and has often led to treatments that are inadequate or fraught with adverse side effects. Rather than trying to force disease pathogenesis into a reductionist model, network medicine embraces the complexity of multiple influences on disease and relies on many different types of networks: from the cellular-molecular level of protein-protein interactions to correlational studies of gene expression in biological samples. The authors offer a systematic approach to understanding complex diseases while explaining network medicine’s unique features, including the application of modern genomics technologies, biostatistics and bioinformatics, and dynamic systems analysis of complex molecular networks in an integrative context.

By developing techniques and technologies that comprehensively assess genetic variation, cellular metabolism, and protein function, network medicine is opening up new vistas for uncovering causes and identifying cures of disease.

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front cover of Theories of Illness
Theories of Illness
A World Survey
George Peter Murdock
University of Pittsburgh Press, 1980

An important contribution to medical anthropology, this work defines the principal causes if illness that are reported throughout the world, distinguishing those involving natural causation from the more widely prevalent hypotheses advancing supernatural explanations.

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