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ScreenShot: A Foundation Model for Few-Shot Combination Drug Screening

ScreenShot is a hierarchical transformer pretrained on drug screening datasets that predicts combination therapy responses via in-context learning from limited observations without molecular profiling or fine-tuning, outperforming baselines and enabling efficient active screening.

Antoine De mathelin, Christopher Tosh, Wesley Tansey

Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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AI panel: 15 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 3/5