Two complementary predictors (DAAE-M and ELIE) estimate individualized 5-year progression risk using routine clinical data, ...

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.

In a future perhaps not too far away, artificial intelligence and its subfield of machine learning (ML) tools and models, ...

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 ...

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 ...

Literature searches, simulations, and practical experiments have been part of the materials science toolkit for decades, but the last few years have seen an explosion of machine learning-driven ...

Afforestation—establishing forests on previously non-forested land, or where forests have not existed for a long time—is one ...

As artificial intelligence explodes in popularity, two of its pioneers have nabbed the 2024 Nobel Prize in physics. The prize surprised many, as these developments are typically associated with ...

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 ...

A new machine learning tool called PhysMAP separates the electrical signatures of different cell types, offering a new way to ...