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 ...

Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...

Coastal and nearshore zones face growing pressure from storms, flooding, erosion, and sea-level rise, which threaten civil infrastructure such as ports, ...

Chinese scientists have developed a machine learning-based typhoon rapid intensification forecasting model which has been ...

The 2025 hurricane season was a coming-of-age story for AI weather models, which have been around in some capacity since ...

Revenue cycle management company Ensemble Health Partners landed a new investor. | Bloomberg reported earlier this month that ...

Air pollution appears to be a stronger predictor of cardiovascular emergencies than weather conditions alone, a new study that analyzed 23 years of environmental and health data in Taiwan showed. A ...

It feels like there’s no escaping AI right now, whether you’re trying to type a sentence without being interrupted by a digital “assistant” or struggling to find a new refrigerator that doesn’t ...

Artificial intelligence hurricane forecast models learn as they go, sharpened 2025 predictions and helped people act sooner ...

Abstract: In this letter, a machine-learning-assisted graphic antenna design method using dynamic acquisition ensemble (ML-GDAE) is proposed. First, a dynamic normalized Gaussian network-based antenna ...

The era of size inclusivity is seemingly over. Our critic traces the shift and hopes designers might learn from it. By Vanessa Friedman I know models have always been skinny, but it seems to me they ...

Unconventional reservoirs, including shale gas, tight oil, and coalbed methane formations, have emerged as vital contributors to global energy security, accounting for a substantial portion of the ...