The American Journal of Managed Care

Novel Predictive Model May Help Identify Patients at Risk for Difficult-to-Treat RA

A group of researchers has developed and externally validated the first-ever predictive model to help clinicians identify ...
Rochester Institute of Technology

RIT researchers use machine learning to better understand the pathways of disease

RIT computing students and Professor Rui Li are working on a National Institutes of Health-funded project to use AI in ...
RMD Open

Systemic lupus erythematosus damage risk index (SLE-DRI): a simple machine learning-based tool for identifying patients at risk for early organ damage

Objective Organ damage is a key determinant of poor prognosis and increased mortality in systemic lupus erythematosus (SLE).
Healio

Machine learning model predicts urgent care visits during lung cancer treatment

Machine learning models can help predict which patients receiving systemic therapy for non-small lung cancer are most likely ...