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The next generation of evidence-based medicine.
Subbiah, Vivek.
  • Subbiah V; Department of Investigational Cancer Therapeutics, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA. vsubbiah@mdanderson.org.
Nat Med ; 29(1): 49-58, 2023 01.
Article in English | MEDLINE | ID: covidwho-2185963
ABSTRACT
Recently, advances in wearable technologies, data science and machine learning have begun to transform evidence-based medicine, offering a tantalizing glimpse into a future of next-generation 'deep' medicine. Despite stunning advances in basic science and technology, clinical translations in major areas of medicine are lagging. While the COVID-19 pandemic exposed inherent systemic limitations of the clinical trial landscape, it also spurred some positive changes, including new trial designs and a shift toward a more patient-centric and intuitive evidence-generation system. In this Perspective, I share my heuristic vision of the future of clinical trials and evidence-based medicine.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Prognostic study / Randomized controlled trials Limits: Humans Language: English Journal: Nat Med Journal subject: Molecular Biology / Medicine Year: 2023 Document Type: Article Affiliation country: S41591-022-02160-z

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Prognostic study / Randomized controlled trials Limits: Humans Language: English Journal: Nat Med Journal subject: Molecular Biology / Medicine Year: 2023 Document Type: Article Affiliation country: S41591-022-02160-z