Machine learning could help predict how people with depression respond to treatment

Researchers at Trinity College Dublin have found that a machine learning model could help clinicians predict which people with depression are more likely to improve with digital cognitive behavioral ...

Reverse Engineering March Madness Selection Committee Bracketology

Machine learning analysis reveals which metrics drive March Madness seeding and predictive analytics in committee decisions.
Healio

Q&A: Objective cough monitoring tools valuable, but need real-world validation

When monitoring cough, both subjective and objective measures are needed, but use of objective cough counting tools is lacking in clinical practice, according to a scoping review published in Lancet ...

Deep learning model predicts which heart-failure patients will worsen within a year

Characterized by weakened or damaged heart musculature, heart failure results in the gradual buildup of fluid in a patient's lungs, legs, feet, and other parts of the body. The condition is chronic ...

NEXTPlay Launches World’s First AI-Native Professional Sports Franchise

Capturing $22B+ Untapped Market with a Proprietary Technology Stack Built for Global Scale and Unrestricted AI Sandbox WILMINGTON, DE, UNITED STATES, March 10, 2026 /EINPresswire.com/ — NEXTPlay is ...
Tech Xplore

Improving AI models' ability to explain their predictions

In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can determine whether to trust its output. Concept ...
News-Medical.Net

Researchers develop versatile machine learning tool to automate complex clinical diagnostics

A research team funded by the National Institutes of Health (NIH) has developed a versatile machine learning model that could one day greatly expand what medical scans can tell us about disease.
Search Engine Land

Microsoft rolls out applied Performance Max learning path

A new applied learning path from Microsoft Advertising is designed to help marketers get more value from Performance Max campaigns through hands-on, scenario-based training — not just theory. What’s ...
The Lancet

When to and when not to use machine learning in risk prediction models

Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Machine learning for health data science, fuelled by proliferation of data and reduced computational ...
IEEE

Student Performance Prediction Using Machine Learning

Abstract: In this paper, we address the important problem of student academic performance prediction, with an emphasis on improving the learning process for lowering failure rates. This research has ...
Frontiers

Performance-informed learning effectiveness prediction for customized higher education: an engineering perspective

Artificial intelligence (AI) offers a powerful approach to analyze teaching and learning data, which has brought the promising field of AI in education (AIEd) and, particularly, opened new ...