Integrating clinical pharmacology and artificial intelligence: potential benefits, challenges, and role of clinical pharmacologists
Author:
Affiliation:
1. Department of Pharmacology, Government Medical College & Hospital, Chandigarh, India
2. Department of Pharmacology, Moti Lal Nehru Medical College, Allahabad, India
3. Government Medical College & Hospital, Chandigarh, India
Funder
No funding
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/17512433.2024.2317963
Reference105 articles.
1. A manifesto for clinical pharmacology from principles to practice
2. EB S, Silva RJ. Chapter 83 - artificial intelligence in medical devices and clinical decision support systems. In: Iadanza E, editor. Clinical engineering handbook. 2nd ed. Academic Press; 2020. p. 556–568.
3. Artificial intelligence in pharmacology research and practice
4. Artificial intelligence and machine learning methods in predicting anti-cancer drug combination effects
5. Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen
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