Ultra‑robust machine‑learning models run stable molecular simulations at extreme temperatures

Researchers at The University of Manchester have created a physics‑informed machine‑learning model that can run molecular ...
Supply Chain Management Review

Predicting failure before it happens: A new playbook for transportation risk

Machine learning-driven carrier risk modeling enables supply chains to predict and prevent pickup defects, reducing costs and improving on-time performance.
Frontiers

Web-based cardiovascular disease risk prediction using machine learning

Cardiovascular disease (CVD) remains the foremost contributor to global illness and death, underscoring the critical need for effective tools that can predict risk at early stages to support ...
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

Placement Prediction & Analysis Using Machine Learning

Abstract: The machine learning-based system predicts and analyzes campus placements and provides both the student and placement officer with insight. It considers a diverse set of student attributes, ...
Hosted on MSN

Self-learning AI generates NFL picks, score predictions for every 2026 Wild Card Weekend game

The 2026 NFL Wild Card Weekend schedule featured two games on Saturday, has three more on Sunday and one 'Monday Night Football' matchup between the Houston Texans and Pittsburgh Steelers. Monday's ...
The Lancet

Effective sample size for individual risk predictions: quantifying uncertainty in machine learning models

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

Heatwave predictions months in advance with machine learning: A new study delivers improved accuracy and efficiency

Enhanced prediction capability: Machine learning-based system matches and in some cases outperforms traditional forecasting systems, with particular improvements in northern Europe where conventional ...
Journal of Medical Internet Research

Prediction of Moderate-to-Severe Sepsis-Associated Acute Kidney Injury Using a Dual-Timepoint Machine Learning Model: Development, Multiregional Validation, and Clinical ...

Prediction of Moderate-to-Severe Sepsis-Associated Acute Kidney Injury Using a Dual-Timepoint Machine Learning Model: Development, Multiregional Validation, and Clinical Deployment Study ...