New paired studies from the University of Minnesota Twin Cities show that machine learning can improve the prediction of ...
The frequency of substance use, early age of initiation, and cannabis-related memory impairments are among the primary factors contributing to driving under the influence, according to a new analysis ...
A new machine learning model built using a simple and interpretable approach predicts in-hospital death in patients with acute liver failure and reveals top risk drivers.
While satellite navigation has become an essential part of modern life, it still struggles to work reliably indoors and in ...
The severity of symptoms in posttraumatic stress disorder (PTSD) varies greatly across individuals in the first year after trauma and it remains difficult to predict whether someone might worsen, ...
Characterized by weakened or damaged heart musculature, heart failure results in the gradual buildup of fluid in a patient's lungs, legs, feet, and other parts of the body. The condition is chronic ...
As semiconductor technologies advance, device structures are becoming increasingly complex. New materials and architectures introduce intricate physical effects requiring accurate modeling to ensure ...
A machine-learning model developed by Weill Cornell Medicine investigators may provide clinicians with an early warning of a ...
New book explains how AI and machine learning are transforming banking through fraud detection, credit risk modeling, ...
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