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

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.

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

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.

NEW YORK, NY, UNITED STATES, March 28, 2026 /EINPresswire.com/ -- As global financial systems grow increasingly complex ...

A team from the University of Córdoba is using artificial intelligence to forecast the annual solar energy available in ...

Can AI predict your personality? New research shows machine learning can deliver DISC assessments 4x faster and with 93% accuracy. Learn how data science is identifying "hybrid" personality types and ...

The frequency of substance use, early age of initiation, and cannabis-related memory impairments are among the primary ...

Software simulates 370,000 steps in under 100 hours, potentially cutting demand for time on supercomputers by orders of ...

Personality tests are widely used in workplaces to shape recruitment, leadership training and team building. But what if ...

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