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Nintendo's latest sale is 'made possible' by the tariff refunds it's hoarding15m ago Instagram now lets you add tagged photos to your profile grid16m ago Sure, Meta’s AI Muse works, but it sure creeps me out16m ago AI agents are flooding public services with new requests23m ago The iPhone Duo just might live up to the hype23m ago People are flooding X with joke resignation announcements imitating the viral AI extinction warning25m ago Anthropic Is Building a Huge Surveillance System to Spy on Anti-AI Activists and Predict Their Activities33m ago Antioch raises $32m to test robots in simulation before they touch hardware41m ago OpenAI’s Bubeck denies trying to cut Anthropic mathematician from credit56m ago 10 of the scariest AI villains in movie history57m ago Maven Robotics wants to steal your robot deployment deal59m ago Agent Security Is Not AI Governance: Why Conflating The Two Is A Risk Enterprises Can't Afford1h ago Positron Valued at $5 Billion in New Funding as Demand for AI Chips Surges1h ago 7 Steps to Become a Forward Deployed Engineer in 20261h ago

Healthcare AI Research8 min reading time

Closing the data loop in AI-driven drug discovery

MIT Technology ReviewPublished Jul 27, 2026

AI is transforming drug discovery by enabling predictive design of drug candidates, reducing reliance on physical screening, and potentially lowering costs and timelines. However, AI-generated compounds still require laboratory validation due to current limitations in predicting kinetics and developability.

#ai-in-drug-discovery #cytiva #hit-identification #paul-belcher #predictive-design

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