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 ...
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As energy companies push AI deeper into industrial operations, success increasingly depends on governance, trusted data, and ...
The hydrologic system is subjected unprecedented stresses and increasing demands driven by climate variabilities, landuse changes, groundwater ...
Accurate RNA splicing is essential for gene expression and human health, yet predicting how DNA sequence variations affect ...
Coastal and nearshore zones face growing pressure from storms, flooding, erosion, and sea-level rise, which threaten civil infrastructure such as ports, ...
An innovative partnership has yielded powerful new tools to help federal agencies rapidly synthesize complex data, historical ...
Artificial intelligence (AI) can put together readings from multiple sensors more effectively than classic technology, ...
In recent years, the frequency of weather-related natural disasters—cyclones, torrential rains, floods—has increased as a consequence of global warming. These disasters cause billions of dollars in ...
Between June 1 and June 29, Delhi’s peak electricity demand exceeded the corresponding day’s demand in 2025 on 22 of the 29 days, which reflects the sustained use of high-cooling appliances due to the ...
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