Nature

The impact of feature combinations on machine learning models for in-hospital mortality prediction

The growing volume of healthcare data presents opportunities for machine learning to improve treatment, uncover new patterns in data and predict patient outcomes. Selecting appropriate features for a ...
Nature

Machine learning-based prediction of primary aldosteronism subtype using comprehensive clinical features

Primary aldosteronism (PA) has two major subtypes: unilateral (uPA) and bilateral (bPA). Although several diagnostic models for subtype classification have been reported, the optimal combination of ...
Medical Xpress

Accelerating drug combination discovery with machine learning

Discovering effective drug combinations may now be easier thanks to a screening platform made public today by St. Jude Children's Research Hospital scientists. Many diseases, including cancers, ...
Medical Xpress

Promising heart drugs identified by cutting-edge combo of machine learning, human learning

University of Virginia scientists have developed a new approach to machine learning—a form of artificial intelligence—to identify drugs that help minimize harmful scarring after a heart attack or ...
Hosted on MSN

Machine learning identifies statin and phenothiazine combo for neuroblastoma treatment

Using machine learning and a large volume of data on genes and existing drugs, researchers at Lund University in Sweden have identified a combination of statins and phenothiazines that is particularly ...
EurekAlert!

Accelerating drug combination discovery with machine learning

(L) First and co-corresponding author Charlie Wright, PhD, St. and (R) co-corresponding author Paul Geeleher, PhD, both of the St. Jude Department of Computational Biology. (MEMPHIS, Tenn. – December ...