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

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

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.

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

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 ...

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

Researchers developed a model using EHR data to predict MM risk, addressing late diagnosis issues due to lack of early symptoms and screening markers. The study analyzed data from Clalit Health ...

Forecasters with OpenSnow are using new artificial intelligence models to better predict mountainous weather and hazards up ...

Please provide your email address to receive an email when new articles are posted on . Early detection and treatment of sepsis can improve outcomes for children. A team of physicians and computer ...

Robotics startup 1X Technologies has developed a new generative model that can make it much more efficient to train robotics systems in simulation. The model, which the company announced in a new blog ...