SynerGPT: In-Context Learning for Personalized Drug Synergy Prediction and Drug Design
Carl Edwards, Aakanksha Naik, Tushar Khot, Martin D. Burke, Heng Ji, Tom Hope
This paper introduces SynerGPT, a model that uses in-context learning to predict drug synergy and design personalized cancer treatments based on patient biopsy data.
bioRxiv · Jul 6, 2023 · PreprintBioinformatics