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

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

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.

More than a decade ago, researchers launched the BabySeq Project, a pilot program to return newborn genomic sequencing results to parents and measure the effects on newborn care. Today, over 30 ...

The Next Frontier of Machine Learning: 2026 Breakthroughs and the Rise of World Models The landscape of artificial intelligence and ...

Finding high-performing catalysts, which are used to accelerate processes from chemical manufacturing to energy production, ...

Researchers at Trinity College Dublin have found that a machine learning model could help clinicians predict which people ...

A machine-learning analysis of brain waves recorded during sleep may help identify people at high risk of developing dementia ...

Interview Kickstart Releases In-Depth Career Transitions Guide on Moving from Data Scientist to Machine Learning Engineer as ...

Machine learning is a multibillion-dollar business with seemingly endless potential, but it poses some risks. Here's how to avoid the most common machine learning mistakes. Machine learning technology ...