A machine learning model using routine clinical data more accurately predicted 5-year heart failure risk in patients with CKD ...

Using routine clinical data, the model gauges liver cancer risk better than existing tools, offering a potential way to identify high-risk patients missed by current screening criteria.

Forbes contributors publish independent expert analyses and insights. Greg Licholai writes and teaches about innovation in healthcare. The latest breakthrough in Nature demonstrates something ...

Using a form of machine learning called self-supervised learning, Mass General Brigham researchers have created a new predictive artificial intelligence model, which they say could help generate ...

A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results ...

Deciding whether to administer chemotherapy after surgery is one of the most challenging questions in early-stage breast ...

Machine learning model predicts poor pain-related quality of life after endometriosis surgery to assist clinicians with preoperative counseling.

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 ...

Chemists may soon have one less rigorous step to worry about when searching for the right molecules to accomplish their ...

We've been watching temperatures climb, extreme weather events intensify, and ice sheets shrink. Every weather forecast and climate projection relies on incredibly complex computer simulations that ...