2020/09/22 by Kevin B. Johnson, Wei‐Qi Wei, Dilhan Weeraratne +5 · 15 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #Cancer Genomics and Diagnostics #Machine Learning in Healthcare #Genetics, Bioinformatics, and Biomedical Research
paper · pdf · doi:10.1111/cts.12884
openalex publication_date 2020/09/22 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/31
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.