One seismometer is often not enough to reliably detect earthquakes or human activity such as underground nuclear tests.
Researchers created an affordable pneumatic exoskeleton glove that uses machine learning to decode forearm muscle signals and ...
Artificial intelligence (AI) can put together readings from multiple sensors more effectively than classic technology, ...
Food scientists at the National University of Singapore (NUS) have used machine learning to sift through more than 2,300 ...
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 ...
One of the uncomfortable truths about multiple sclerosis is that the part of the brain likely to reveal the most about the ...
A large study applies advanced machine learning to identify shared risk factors and predictors of disease onset in patients with epilepsy and depression.
Background Adult-onset Still’s disease (AOSD) is a systemic autoinflammatory disorder lacking a gold-standard diagnostic ...
Driver fatigue and drowsiness are among the leading causes of road accidents, especially during night-time long-haul driving such as truck and highway transport. Traditional safety measures fail ...
Cognitive computational neuroscience has entered a transformative era. The rapid rise of large multimodal foundation models, state-space architectures, and ...
Tole combines ultrasound and AI to improve motor neuron disease diagnosis, reducing reliance on invasive procedures.
The field of orofacial medicine increasingly recognizes the temporomandibular joint (TMJ) as a complex anatomical and functional unit whose disorders can ...
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