STAT

Opinion: AI will revolutionize drug discovery — but only if experts are involved

To fruitfully apply AI to drug discovery, we need better feedback loops between developers and interdisciplinary teams that test the technology.

In health care, two exciting uses of artificial intelligence — in the clinic for patient care and in the laboratory for drug discovery — are remarkably different applications. That perhaps explains why, though it’s still early days for both, they are developing at different rates.

In the clinical setting, AI works with known parameters, typically running through a classification process based on experiences of what works and what doesn’t for different types of patients. The potential of AI here is significant, and the early successes are truly exciting.

The opportunity is equally compelling in drug discovery, particularly in areas of high unmet need such as rare and hard-to-treat cancers and neurodegenerative conditions. Artificial intelligence can ingest and reason

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