Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.

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

Cui, J.X., Liu, K.H. and Liang, X.J. (2026) A Brief Discussion on the Theory and Application of Artificial Intelligence in ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

During this symposium, leading international epileptologists discussed the key challenges and opportunities that currently ...

Steve Nix is a member of the Society of American Foresters and a former forest resources analyst for the state of Alabama. According to National Wildlife Federation, there are two varieties of Douglas ...

Introduction Repeated exposure to domestic violence (DV) is common among women; however, little is known about how women’s ...