(HealthDay News) — Machine learning and deep learning models applied to integrated clinical and claims data can improve prediction of chronic kidney disease (CKD) progression to end-stage renal ...

Physiologically Based Pharmacokinetic Model to Assess the Drug-Drug-Gene Interaction Potential of Belzutifan in Combination With Cyclin-Dependent Kinase 4/6 Inhibitors A total of 14,177 patients were ...

Flexynesis uses deep learning to evaluate multi-omics data as well as specially processed texts and images, including CT or ...

Nearly 50 new cancer therapies are approved every year. This is good news. "But for patients and their treating physicians, ...

The arrangement of electrons in matter, known as the electronic structure, plays a crucial role in fundamental but also applied research such as drug design and energy storage. However, the lack of a ...

In a recent study published in eClinical Medicine, researchers analyzed disease progression to identify distinct patterns in the Alzheimer's disease (AD) trajectory using Mendelian randomization (MR) ...

A research team has developed a novel direct sampling method based on deep generative models. Their method enables efficient ...

OpenAI will make Deep Research available to free users, according to an X post by CEO Sam Altman. Stefano Guidi/Getty OpenAI will make its Deep Research model available to users on ChatGPT’s free tier ...