This study is led by Dr. Nan Qiao (Laboratory of Health Intelligence, Huawei Cloud Computing Technologies), Dr. Hualiang Jiang (Shanghai Institute of Materia Medica, Chinese Academy of Sciences) and ...

Inflation and the Covid-19 pandemic have put pharmaceutical productivity front and center in recent years. Thus, drug companies are under mounting pressure to prove that new treatments are safe and ...

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 ...

The drug development industry has grown into a troubling duality—one characterized by scientific progress and pervasive failure. Decades of technological advancements have enabled the precise ...

Drug-induced liver injury induced by already approved substances is a major threat to human patients, potentially resulting in drug withdrawal and substantial loss of financial resources in the ...