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.

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

Research from a team at the University of Texas at Dallas shows the potential for detecting mental health disorders by ...

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 ...

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

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 ...

The promise of AI revolutionizing the modern workplace is a rather seductive one. You feed it your data, find patterns that ...