Predictive modeling compound prioritization has become a central strategy in modern drug discovery, enabling researchers to triage large chemical libraries with increased precision. As compound ...

Researchers at the CUNY Graduate Center have created an artificial intelligence model, Context-aware Deconfounding Autoencoder (CODE-AE), that can screen drug compounds to accurately predict efficacy ...