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New AI tool matches cancer drugs to individual patients

PubMed · 2026-09-09

Scientists built an AI model called UniCure that predicts how individual cancer patients will respond to different drugs by analyzing tumor cell data, aiming to personalize cancer treatment instead of relying on generic cell-line studies.

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UniCure was trained on 1.9 million transcriptomic perturbation profiles covering more than 22,000 compounds, 166 cell types, and 24 tissues

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The model was fine-tuned on 345 patient-derived tumor-like cluster profiles and validated on 396 real-world clinical profiles

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UniCure accurately predicted dose-dependent and drug combination responses and generalized across bulk and single-cell data

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