Two new studies from the Department of Computational Biomedicine at Cedars-Sinai are advancing what we know about using machine learning and big data to improve health care and medical research. Both ...

Generalizable machine learning prediction models were developed using 4 algorithms: logistic regression, decision tree, random forest, and eXtreme Gradient Boosting. HealthDay News — In a diagnostic ...

Predictive Model of Objective Response to Nivolumab Monotherapy for Advanced Renal Cell Carcinoma by Machine Learning Using Genetic and Clinical Data: The SNiP-RCC Study The use of real-world data ...

In a recent study published in Molecular Psychiatry, researchers performed structural-type magnetic resonance imaging (sMRI) to develop a machine learning classifier and distinguish neuroanatomical ...

Scientists used a new video-based machine learning tool to pinpoint otherwise-undetectable signs of early disease in mice that were engineered to mimic key aspects of Alzheimer's. Their work sheds ...