Article

SynerGPT: In-Context Learning for Personalized Drug Synergy Prediction and Drug Design

2023-07-07

Abstract excerpt

Predicting synergistic drug combinations can help accelerate discovery of cancer treatments, particularly therapies personalized to a patient’s specific tumor via biopsied cells. In this paper, we propose a novel setting and models for in-context drug synergy learning . We are given a small “personalized dataset” of 10-20 drug synergy relationships in the context of specific cancer cell targets. Our goal is to pr...

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Literature Corpus work: 6aa7b1ff-0e61-531a-ab44-b81757550160
DOI: 10.1101/2023.07.06.547759

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