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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.

About the Authors

M. R. Galyamova
Center for the National Technology Initiative in the Healthnet Direction
Russian Federation

12 Nikolaeva St., 630090 Novosibirsk



O. V. Valieva
Institute of Economics and Industrial Engineering, Siberian Branch of the Russian Academy of Sciences; National Research Novosibirsk State University (NR NSU)
Russian Federation

17 Akademik Lavrentiev St., 630090 Novosibirsk, 

1 Pirogov St., 630090 Novosibirsk



K. V. Peskov
Sechenov First Moscow State Medical University (Sechenov University)
Russian Federation

8/2 Trubetskaya St., 119048 Moscow



A. A. Kadurin
Artificial Intelligence Research Institute (AIRI)
Russian Federation

Room 1 32 Kutuzovsky Ave., 121170 Moscow



K. M. Kravtsov
Center for the National Technology Initiative in the Healthnet Direction
Russian Federation

12 Nikolaeva St., 630090 Novosibirsk



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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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ISSN 1682-0363 (Print)
ISSN 1819-3684 (Online)