A novel machine learning version of the Opioid Risk Tool provides high precision screening for opioid use disorder in chronic pain patients.

Please provide your email address to receive an email when new articles are posted on . The model, along with a traffic-light system, boosted sensitivity and specificity of agitation recognition.

Imagine having a super-powered lens that uncovers hidden secrets of ultra-thin materials used in our gadgets. Research led by University of Florida engineering professor Megan Butala enables a novel ...

Machine learning is no longer just a tech buzzword. Businesses face constant pressure to stay competitive in an ever-changing digital environment. Many feel overwhelmed by the rapid pace of change and ...

A groundbreaking study led by USC Assistant Professor of Computer Science Ruishan Liu has uncovered how specific genetic mutations influence cancer treatment outcomes-insights that could help doctors ...

Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...

After giving birth, new mothers typically return for a follow-up appointment six to eight weeks later. But if postpartum depression symptoms emerge, “that can be a really long time for someone who is ...

Around the world, millions of families have suffered forcible separation, through war, trafficking, natural disasters, or ...

Please provide your email address to receive an email when new articles are posted on . Machine learning models could aid early diagnosis of rapidly progressing knee OA among younger patients. The ...