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 ...

A research team has created an artificial intelligence model that could significantly improve the accuracy and reduce the time and cost of the drug development process. The new model, called CODE-AE, ...

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 ...

In a recent study under review at the Scientific Reports journal and currently posted to the Research Square* preprint server, researchers synthesized and evaluated the antitumoral (against several ...