Sepsis is one of the most common and lethal syndromes encountered in intensive care units (ICUs), and acute respiratory ...

Researchers at Stevens Institute of Technology used machine learning tools and social network theory—the study of how people ...

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

CorVista Health, a leader in noninvasive cardiovascular diagnostics, today announced new data evaluating a physiologic signal–based machine-learning model for detecting cardiac ischemia. The data was ...

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.

Researchers at the University of Hawaiʻi at Mānoa are using artificial intelligence and machine learning (AI/ML) to better understand what improves outcomes for individuals receiving treatment for ...

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

Understanding gene expression within the body has been a boon for 21st century biology and therapeutics, but most discoveries ...

In biology, defects are generally bad. But in materials science, defects can be intentionally tuned to give materials useful new properties. Today, atomic-scale defects are carefully introduced during ...

What does gentrification in Philadelphia look like? “High-rise, modern apartment buildings.” “(A) modern look that’s so out of place with our traditional row homes that have been here for a hundred ...

Recent advances in machine learning have opened transformative avenues for investigating complex problems in string theory and geometry. By integrating sophisticated algorithms with theoretical ...