Artificial Intelligence in Drug Development: From Molecular Design to Clinical Pharmacometrics
https://doi.org/10.20538/1682-0363-2026-3-179-183
Abstract
The aim was to demonstrate the potential of using artificial intelligence (AI) in pharmacology and the development of new drugs. This study reviews the key technological drivers shaping the market for generative design and AI applications in medicine, the dynamics of the global AI drug discovery market, the activities of leading players and startups, and the regulatory and legal aspects governing the industry. Particular focus is placed on the Russian market, including its maturity, growth barriers, and AI adoption case studies from 2022 to 2025.
Keywords
About the Authors
M. R. GalyamovaRussian Federation
12 Nikolaeva St., 630090 Novosibirsk
O. V. Valieva
Russian Federation
17 Akademik Lavrentiev St., 630090 Novosibirsk,
1 Pirogov St., 630090 Novosibirsk
K. V. Peskov
Russian Federation
8/2 Trubetskaya St., 119048 Moscow
A. A. Kadurin
Russian Federation
Room 1 32 Kutuzovsky Ave., 121170 Moscow
K. M. Kravtsov
Russian Federation
12 Nikolaeva St., 630090 Novosibirsk
References
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Review
For citations:
Galyamova M.R., Valieva O.V., Peskov K.V., Kadurin A.A., Kravtsov K.M. Artificial Intelligence in Drug Development: From Molecular Design to Clinical Pharmacometrics. Bulletin of Siberian Medicine. 2026;25(3):179-183. (In Russ.) https://doi.org/10.20538/1682-0363-2026-3-179-183
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