J. C. Vidal

Benchmarking graph-based models for in-silico toxicity prediction in drug discovery

Drug discovery is a costly and high-risk process, where toxicity-related failures remain a major cause of attrition in both preclinical and clinical stages. As a result, accurate early prediction of chemical toxicity is essential to reduce downstream costs and improve compound prioritization. In this context, graph dee...