Abstract
With the innovation and advancement of artificial intelligence, more and more
artificial intelligence techniques are employed in drug research, biomedical
frontier research, and clinical medicine practice, especially, in the field of
pharmacology research. Thus, this review focuses on the applications of
artificial intelligence in drug discovery, compound pharmacokinetic prediction,
and clinical pharmacology. We briefly introduced the basic knowledge and
development of artificial intelligence, presented a comprehensive review, and then summarized the latest studies and discussed the strengths and limitations of artificial intelligence models. Additionally, we highlighted several important studies and pointed out possible research directions.
artificial intelligence techniques are employed in drug research, biomedical
frontier research, and clinical medicine practice, especially, in the field of
pharmacology research. Thus, this review focuses on the applications of
artificial intelligence in drug discovery, compound pharmacokinetic prediction,
and clinical pharmacology. We briefly introduced the basic knowledge and
development of artificial intelligence, presented a comprehensive review, and then summarized the latest studies and discussed the strengths and limitations of artificial intelligence models. Additionally, we highlighted several important studies and pointed out possible research directions.
| Original language | English |
|---|---|
| Pages (from-to) | 1-16 |
| Number of pages | 17 |
| Journal | Frontiers in Genetics |
| Volume | 15 |
| DOIs | |
| Publication status | Published (in print/issue) - 3 Sept 2024 |
Bibliographical note
Copyright © 2024 Li, Tan, Lao, Wang, Zheng and Zhang.Keywords
- artificial intelligence
- pharmacology
- drug discovery
- compound pharmacokinetic prediction
- clinical pharmacology
