Unlocking precision medicine: clinical applications of integrating health records, genetics, and immunology through artificial intelligence
National Yang Ming Chiao Tung University · National Chung Hsing University · +6 more institutions
Abstract
Artificial intelligence (AI) has emerged as a transformative force in precision medicine, revolutionizing the integration and analysis of health records, genetics, and immunology data. This comprehensive review explores the clinical applications of AI-driven analytics in unlocking personalized insights for patients with autoimmune rheumatic diseases. Through the synergistic approach of integrating AI across diverse data sets, clinicians gain a holistic view of patient health and potential risks. Machine learning models excel at identifying high-risk patients, predicting disease activity, and optimizing therapeutic strategies based on clinical, genomic, and immunological profiles. Deep learning techniques have…
Citation impact
- FWCI
- 95.96
- Percentile
- 100%
- References
- 75
Authors
4- YCYiming Chen
National Yang Ming Chiao Tung University, National Chung Hsing University, Taichung Veterans General Hospital, National Taipei University
- THTzu‐Hung Hsiao
Fu Jen Catholic University, National Chung Hsing University, Taichung Veterans General Hospital
- CLChing‐Heng Lin
Fu Jen Catholic University, National Yang Ming Chiao Tung University, Tunghai University, Taichung Veterans General Hospital
- YCYang C. FannCorresponding
National Institutes of Health, National Institute of Neurological Disorders and Stroke
Topics & keywords
- Precision medicine
- Artificial intelligence
- Personalized medicine
- Data science
- Data sharing
- Health care
- Transformative learning
- Medicine
- Industry, innovation and infrastructure
Funding
- NSNational Science and Technology CouncilAwards: NSTC-111-2314-B-075A-003-MY3, NSTC -111-2634-F-A49-014, NSTC-111-2218-E-039-001
- ASAcademia SinicaAwards: AS-GC-110-MD02, 40-05-GMM
- TVTaichung Veterans General HospitalAwards: TCVGH-1137302D, TCVGH-1137310C, TCVGH-1137302B, TCVGH-1127304B, TCVGH-1137319C
- NSNational Science and Technology CouncilAwards: NSTC-111-2218-E-039-001, NSTC-111-2314-B-075A-003-MY3
- NINational Institutes of Health
- NDNHLBI Division of Intramural Research