Machine learning models can predict the risk for developing moderate-to-severe persistent asthma and allergic rhinitis in children diagnosed with early-life atopic dermatitis.

AI forecast models offer some clear benefits over traditional physical models, but they are ill-equipped to handle the increasing volatility of a warming climate.

"This Earth Day, we are reminded that solid evidence is the foundation of effective action to protect our planet." ...

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 ...

Ionospheric delay remains a significant error source in GNSS positioning, particularly for single-frequency users and during periods of enhanced space weather ...

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 ...

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

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 ...

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 ...

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 ...

Devaughn Vele has earned the trust of Tyler Shough and gets a good matchup in Week 14. Kenneth Richmond / Getty Images Though they’re ultimately two different lenses, sports betting can provide some ...

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