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The future of the personalized medicine in intensive care Ryo UCHIMIDO 1 , Toru SHIRAKAWA 2 , Daisuke HASEGAWA 3 1Intensive Care Unit Tokyo Medical and Dental University 2Public Health Graduate School of Medicine Osaka University 3Department of Anesthesiology and Critical Care Medicine Fujita Health University pp.806-812
Published Date 2020/10/1
DOI https://doi.org/10.11477/mf.3102200818
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Personalized medicine is the practice of medicine that uses an individual's genetic profile and environmental factors to classify patients with the same diagnosis and guide therapies based on these classifications. Sepsis and ARDS have been the focus of research investigating personalized medicine in intensive care because of their great pathological heterogeneity that indicates the presence of heterogeneity of treatment effects. While many studies have used epidemiological, biostatistical, and machine learning methods to assess the heterogeneity of the treatment effect, novel methods such as reinforcement learning have emerged and present new approaches to provide the best therapy for each patient. Although clinical trials in sepsis and ARDS have failed for decades, a successful move from “one size fits all” therapy to personalized medicine is expected to improve patient outcomes.


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電子版ISSN 2186-7852 印刷版ISSN 1883-4833 メディカル・サイエンス・インターナショナル

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