VQSynery: Robust Drug Synergy Prediction With Vector Quantization Mechanism

arXiv:2403.03089v1 Announce Type: cross
Abstract: The pursuit of optimizing cancer therapies is significantly advanced by the accurate prediction of drug synergy. Traditional methods, such as clinical trials, are reliable yet encumbered by extensive time and financial demands. The emergence of high-throughput screening and computational innovations has heralded a shift towards more efficient methodologies for exploring drug interactions. In this study, we present VQSynergy, a novel framework that employs the Vector Quantization (VQ) mechanism, integrated with gated residuals and a tailored …

abstract advanced arxiv cancer clinical clinical trials computational cs.ai cs.lg emergence financial innovations prediction q-bio.qm quantization robust screening shift synergy type vector