Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and microfluidics to nanomaterial testing, thanks to their compact size and ...
Researchers have developed a new machine-learning-assisted approach to optimize micro-electro-discharge machining (µ-EDM) of ...
In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...
The question of whether prehospital emergency anaesthesia and intubation improves survival in patients with major trauma has ...
A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...
Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...
The team utilized machine learning to analyze public data from the National Health and Nutrition Examination Survey.
Researchers developed a machine learning calculator that provides predictions of whether patients hospitalized with COVID-19 will progress to severe illness or death, according to a March 2 study ...
New machine learning study reveals how early-life chronic conditions like arthritis, mood disorders, and hypertension may drive premature death in people with IBD—highlighting critical opportunities ...
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