Predicting drug responses of unseen cell types through transfer learning with foundation models.

Drug repurposing through single-cell perturbation response prediction provides a cost-effective approach for drug development, but accurately predicting responses in unseen cell types that emerge during disease progression remains challenging. Existi…

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