A new study using US health survey data has developed a machine learning model that predicts osteoarthritis risk from exposure to volatile organic compounds (VOCs). The Linear Discriminant Analysis ...

At HRS 2026, Dr. Song Zuo presented evidence that AI can detect atrial fibrillation with over 90% sensitivity, ...

The right renovation choices can make a major difference—for both the climate and the economy. However, what works best ...

For centuries, humans looked to seers and astrologers to determine fate. Today, we look to algorithms, and the loss of agency ...

The field of medical imaging is witnessing a rapid transformation through the integration of artificial intelligence (AI), particularly in the development ...

Discover how explainable AI enhances Parkinson’s disease prediction with improved accuracy and clinical interpretability.

Wildfire smoke no longer stays in the West. In recent years, plumes have repeatedly drifted across the continent, triggering ...

KOLKATA: Scientists have rolled out an AI-powered forecasting system to help fishers locate hilsa shoals in the Bay of Bengal ...

Mount Sinai researchers have created an analytic tool using machine learning that can predict cardiovascular disease risk in patients with obstructive sleep apnea ...

The system includes baseline models (Linear Regression, Random Forest, XGBoost) and advanced models (Neural Networks, Ensemble methods) with comprehensive evaluation and visualization capabilities.

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 ...

This is a complete Air Quality Monitoring and Prediction System built using Django and LSTM deep learning. The project demonstrates real-world application of machine learning in environmental ...