Houston-area school districts confirmed to FOX26 they use software to monitor activity on school-issued devices. Here’s what ...

Abstract: Respiratory spatial patterns describe the distribution and dynamics of lung conditions, and monitoring of their asymmetry or irregularities enables a more comprehensive assessment of ...

During early development, tissues and organs begin to form through the shifting, splitting, and growing of many thousands of cells. A team of researchers headed by MIT engineers has now developed a ...

Niral Shah does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond their ...

Using machine learning models, researchers at Michigan Medicine have identified a potential way to diagnose amyotrophic lateral sclerosis, or ALS, earlier from a blood sample, a study suggests. The ...

Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Individual prediction uncertainty is a key aspect of clinical prediction model performance; however ...

Please provide your email address to receive an email when new articles are posted on . Machine learning can use patient-reported outcomes to identify low disease activity in rheumatoid arthritis.

Language model (LM) agents deployed in novel environments often exhibit poor sample efficiency when learning from sequential interactions. This significantly hinders the usefulness of such agents in ...

Monitoring and evaluation (M&E) generates evidence for strategic planning, decision-making, advocacy, communication, and learning. This section aims to guide the development of the M&E plan. Planning ...

The White House released its AI Action Plan on Wednesday, which focuses on deregulating the technology, establishing regulatory sandboxes to test artificial intelligence innovation and promoting ...