Drug discovery in the context of precision medicine and artificial intelligence
Introduction The drug development process traditionally includes rigorous pre-clinical testing in laboratories and animal models to assess the safety, efficacy, pharmacokinetics, and toxicology of potential drug candidates before progressing to human clinical trials. Developing AI, machine ML algorithms, and PM approaches will facilitate identifying potential drug targets, predicting therapeutic outcomes, and optimizing the selection of lead compounds.
Authors
- Fatemeh Khatami (ORCID: https://orcid.org/0000-0002-6311-1336)
- Shekoufeh Nikfar (ORCID: https://orcid.org/0000-0002-5206-6197)
- Marzieh Nosrati (ORCID: https://orcid.org/0000-0001-8964-1653)
- Negar Sarhangi (ORCID: https://orcid.org/0000-0003-2385-7333)
- Mandana Hasanzad (ORCID: https://orcid.org/0000-0002-0538-1135)
- Parham Rahmani
- Mohammad Abdollahi (ORCID: https://orcid.org/0000-0002-0193-3692)
Institutions
- Islamic Azad University Medical Branch of Tehran (IR)
- Tehran University of Medical Sciences (IR)
Publication Details
- Journal
- Expert Review of Precision Medicine and Drug Development
- Published
- 2024-08-19
- DOI
- https://doi.org/10.1080/23808993.2024.2393089
- Citations
- 7
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.84