QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...

Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...

The severity of symptoms in posttraumatic stress disorder (PTSD) varies greatly across individuals in the first year after trauma and it remains difficult to predict whether someone might worsen, ...

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...

Rules-based automation (RBA) and learning are two training mechanisms in robotics. While there are many others, these are two ...

Background Suicide rates have increased over the last couple of decades globally, particularly in the United States and among populations with lower economic status who present at safety-net ...

Global climate models capture many of the processes that shape Earth's weather and climate. Based on physics, chemistry, fluid motion and observed data, hundreds of these models agree that more carbon ...

Education experts are encouraging schools to consider problem-based learning (PBL) in a move to improve engagement and creativity among high school students. New research demonstrates how hands-on, ...