Precision Medicine, AI, and the Future of Personalized Health Care
| Autor: | Karl E. Misulis, Dilhan Weeraratne, Kevin B. Johnson, Kyu Rhee, Wei-Qi Wei, Mark E. Frisse, Juan Zhao, Jane L. Snowdon |
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| Rok vydání: | 2020 |
| Předmět: |
Patient-Specific Modeling
Computer science MEDLINE Reviews Inference Translational research Personalized health Review Risk Assessment General Biochemistry Genetics and Molecular Biology Translational Research Biomedical Artificial Intelligence Intelligence amplification Health care Humans Genetic Predisposition to Disease Precision Medicine General Pharmacology Toxicology and Pharmaceutics business.industry lcsh:Public aspects of medicine General Neuroscience lcsh:RM1-950 lcsh:RA1-1270 General Medicine Precision medicine Data science lcsh:Therapeutics. Pharmacology Convergence (relationship) business Delivery of Health Care Forecasting |
| Zdroj: | Clinical and Translational Science, Vol 14, Iss 1, Pp 86-93 (2021) Clinical and Translational Science |
| ISSN: | 1752-8062 1752-8054 |
| DOI: | 10.1111/cts.12884 |
| Popis: | The convergence of artificial intelligence (AI) and precision medicine promises to revolutionize health care. Precision medicine methods identify phenotypes of patients with less-common responses to treatment or unique healthcare needs. AI leverages sophisticated computation and inference to generate insights, enables the system to reason and learn, and empowers clinician decision making through augmented intelligence. Recent literature suggests that translational research exploring this convergence will help solve the most difficult challenges facing precision medicine, especially those in which nongenomic and genomic determinants, combined with information from patient symptoms, clinical history, and lifestyles, will facilitate personalized diagnosis and prognostication. |
| Databáze: | OpenAIRE |
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