iaea.org

New IAEA Research Project Uses Machine Learning to Better Predict Polymer Changes under Radiation

Azillah Binti Othman, IAEA Department of Nuclear Sciences and Applications Ayhan Evrensel, IAEA Department of Nuclear Sciences and Applications The IAEA is inviting research organizations to join a ...
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 ...
GitHub

Dengue Early-Warning & Monitoring System

A comprehensive web-based platform for dengue fever surveillance, prediction, and monitoring using advanced machine learning algorithms and real-time data visualization. DEN-Smart is an intelligent ...
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 ...
International Monetary Fund

Nowcasting GCC GDP: A Machine Learning Solution for Enhanced Non-Oil GDP Prediction

This paper presents a machine learning–based nowcasting framework for estimating quarterly non-oil GDP growth in the Gulf Cooperation Council (GCC) countries. Leveraging machine learning models ...
IEEE

Early Prediction of Severe Dengue Using Machine Learning

Abstract: Dengue remains a major public health challenge in tropical regions such as Sri Lanka, where early identification of severe dengue is critical to reducing mortality and optimizing resource ...
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 ...
The New York Times

Week 11 fantasy football intel, predictions using player prop lines

Tua Tagovailoa should enjoy a fantasy football fiesta in Spain on Sunday. Sam Navarro / Imagn Images Though they’re ultimately two different lenses, sports betting can provide some smart intel for ...
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 ...
Morningstar

Machine Learning Can Forecast Which Stock Factors Will Outperform

A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...