Machine learning models that use electronic health record data to predict obstructive sleep apnea had greater performance than two screening questionnaires, according to a poster presented at SLEEP ...
Accurate RNA splicing is essential for gene expression and human health, yet predicting how DNA sequence variations affect ...
Drawing on a constant stream of live pollution data, the new AI-based DSS will use artificial intelligence (AI) to spot the ...
Hyderabad: A class XII student from Hyderabad, Ansh Kumar, has developed an artificial intelligence (AI)-assisted model for ...
Wildfire smoke no longer stays in the West. In recent years, plumes have repeatedly drifted across the continent, triggering health alerts from California to the Midwest and East Coast. As the 2026 ...
The system includes baseline models (Linear Regression, Random Forest, XGBoost) and advanced models (Neural Networks, Ensemble methods) with comprehensive evaluation and visualization capabilities.
Introduction Supported self-management empowering people with asthma to detect early deterioration and take timely action reduces the risk of asthma attacks. Smartphones and smart monitoring devices ...
Jenny has over a decade of experience covering science and technology. In 2014, she started reviewing smart-home devices and kitchen appliances at Digital Trends. She also covered smart-home tech for ...
This project focuses on predicting air pollution levels in Sarajevo at the neighborhood level using machine learning models. To capture different characteristics of the data, we applied a GRU-based ...
Municipal Solid Waste Generation (MSWG) presents a significant challenge for sustainable urban development, with waste production escalating at alarming rates worldwide. To address this issue, ...
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