CT-Perturb predicts drug responses across cell contexts to guide lab screening
david_van_dijk · x · 2026-10-09
The author introduces CT-Perturb: a drug's effect depends on the cell and its context — immune signals, genetic background, and other treatments. CT-Perturb predicts responses across that space, guiding which combinations are worth testing in the lab instead of screening every combination experimentally.
A concrete AI-for-science application aimed at prioritizing wet-lab experiments.
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