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ARTICLE · 26 DECEMBER 2024

AI In Drug Discovery: 2025 Outlook

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Looking forward to the 2025 prediction season, a survey of the emerging AI-powered drug discovery landscape has been making the rounds—and with good reason. The survey...

United StatesTechnology
Nikhil T. Pradhan
Nikhil T. Pradhan
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Looking forward to the 2025 prediction season, a survey of the emerging AI-powered drug discovery landscape has been making the rounds—and with good reason. The survey, summarized by Stanford's Chris Bradbury, is likely the most comprehensive public review of advancements in this rapidly evolving field to date.

AI-powered drug discovery is categorized into four distinct waves of development, providing a clear framework for understanding how this technology has progressed. The most recent wave, in particular, emphasizes two key trends: (1) leveraging more data and extracting more value from diverse data sources through multimodal, multiscale, synthetic, and self-supervised approaches; and (2) focusing on more specialized pipelines, where feedback from the development process may be used more effectively.

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