Researchers at The University of Manchester have created a physics‑informed machine‑learning model that can run molecular ...
Sepsis is one of the most common and lethal syndromes encountered in intensive care units (ICUs), and acute respiratory ...
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Facing the music: Detecting dangerous driving through AI facial analysis
Researchers from Edith Cowan University (ECU) are developing new technology that could change how drunk and dangerous drivers are identified. Using a single 3D deep learning model, researchers are ...
Abstract: Driver drowsiness is a critical factor contributing to road fatalities, with global statistics indicating that approximately 1.19 million lives are lost annually due to road accidents.
Metabolic dysfunction-associated fatty liver disease (MAFLD) is a complex metabolic disorder and one of the leading causes of chronic liver disease worldwide. Current diagnostic tools, such as ...
Abstract: This work deals with the fabrication and validation of an innovative wearable single-channel electroencephalogram (EEG) system, designed for real-time monitoring of specific brain activity.
It’s everywhere, as the author learned the hard way while making as little contact as possible with machine learning and generative artificial intelligence. It’s everywhere, as the author learned the ...
Introduction: Peripheral Artery Disease (PAD) is a progressive vascular disorder impairing mobility, raising fall risk, and reducing quality of life. Early detection is key to preventing amputations ...
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