Precision medicine is driven by the paradigm shift of empowering clinicians to predict the most appropriate course of action for patients with complex diseases and improve routine medical and public health practice. It promotes integrating collective and individualized clinical data with patient specific multi-omics data to develop therapeutic strategies, and knowledgebase for predictive and personalized medicine in diverse populations. This study is based on the hypothesis that understanding patient's metabolomics and genetic make-up in conjunction with clinical data will significantly lead to determining predisposition, diagnostic, prognostic and predictive biomarkers and optimal paths providing personalized care for diverse and targeted chronic, acute, and infectious diseases. This study briefs emerging significant, and recently reported multi-omics and translational approaches aimed to facilitate implementation of precision medicine. Furthermore, it discusses current grand challenges, and the future need of Findable, Accessible, Intelligent, and Reproducible (FAIR) approach to accelerate diagnostic and preventive care delivery strategies beyond traditional symptom-driven, disease-causal medical practice.
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Review Article| March 02 2022
Multi-omics strategies for personalized and predictive medicine: past, current, and future translational opportunities
1Institute for Health, Health Care Policy and Aging Research, Rutgers, The State University of New Jersey, 112 Paterson Street, New Brunswick, NJ, U.S.A.
2Department of Medicine, Rutgers Robert Wood Johnson Medical School, Rutgers Biomedical and Health Sciences, 125 Paterson Street, New Brunswick, NJ, U.S.A.
Correspondence: Zeeshan Ahmed (email@example.com)
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Publisher: Portland Press Ltd
Received: December 08 2021
Revision Received: February 13 2022
Accepted: February 21 2022
Online ISSN: 2397-8562
Print ISSN: 2397-8554
© 2022 The Author(s). Published by Portland Press Limited on behalf of the Biochemical Society and the Royal Society of Biology
Zeeshan Ahmed; Multi-omics strategies for personalized and predictive medicine: past, current, and future translational opportunities. Emerg Top Life Sci 13 April 2022; 6 (2): 215–225. doi: https://doi.org/10.1042/ETLS20210244
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