Sticking to an exercise routine is a challenge many people face. But a research team is using machine learning to uncover what keeps individuals committed to their workouts.

Key takeaways: Machine learning models may accurately predict outcome measures for patients undergoing MPFL reconstruction. Machine learning also predicted return to sports and recurrent instability.

A machine learning-based model can predict 30-day in-hospital mortality among patients with asthma in the ICU.

Machine learning models trained on electronic health record data were able to successfully predict diagnostic progression to schizophrenia and bipolar disorder among patients with other mental ...

Discover how machine learning shows high accuracy for HIV prediction but needs better validation before use in STI clinical ...

A recent study by Yale researchers demonstrated the potential of a machine learning approach to predict symptoms of post-traumatic stress disorder, or PTSD, for recent trauma survivors. Researchers ...

Toxicity to systemic cancer treatment represents a major anxiety for patients and a challenge to treatment plans. We aimed to develop machine learning algorithms for the upfront prediction of an ...

A University of Alberta research team has successfully used machine learning as a tool for earlier detection of attention deficit hyperactivity disorder (ADHD) in kindergarten students.

Novel machine learning model can predict material failure before it happens Date: April 16, 2025 Source: Lehigh University Summary: A team of researchers has successfully predicted abnormal grain ...

Researchers developed metabolomic aging clocks using machine learning, uncovering links between metabolite profiles, health outcomes, and lifespan.