Discover how artificial intelligence is transforming influenza vaccine development, accelerating timelines and improving ...

A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...

More accurate and individualized health predictions will allow for preventative factors to be implemented well in advance.

Researchers from Marshall University and the University of Missouri have developed G2PDeep, an innovative web-based platform ...

A newly developed artificial intelligence (AI) model is highly accurate in predicting blood loss in patients undergoing ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

Introduction Atrial fibrillation (AF) is the leading cause of cardioembolic stroke and is associated with increased stroke severity and fatality. Early identification of AF is essential for adequate ...

Williams, A. and Louis, L. (2026) Cumulative Link Modeling of Ordinal Outcomes in the National Health Interview Survey Data: Application to Depressive Symptom Severity. Journal of Data Analysis and ...