A machine-learning model developed by Weill Cornell Medicine investigators may provide clinicians with an early warning of a ...
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.
A machine-learning model developed by Weill Cornell Medicine investigators may provide clinicians with an early warning of a complication that can occur late in pregnancy. Preeclampsia is a sudden ...
How predictions would impact clinical decision-making is another question, expert says ...
Worcester Polytechnic Institute (WPI) researchers have used a form of artificial intelligence (AI) to analyze anatomical changes in the brain and predict Alzheimer's disease with nearly 93% accuracy.
Yale researchers have developed a machine learning model, called Immunostruct, that can help scientists create more ...
How people with compromised immune systems respond to vaccines is an important area of immunological research. A study led by ...
Theoretical physicists use machine-learning algorithms to speed up difficult calculations and eliminate untenable theories—but could they transform what it means to make discoveries? Theoretical ...
Machine learning can predict many things, but can it predict who will develop schizophrenia years before the average diagnosis time?