Objective To develop and validate a 10-year predictive model for cardiovascular and metabolic disease (CVMD) risk using ...

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance ...

Since the landmark approvals of lecanemab and donanemab, anti-amyloid immunotherapy has marked a paradigm shift in ...

Options trading has changed steadily over the years. Markets have become faster, more complex, and more data-driven. As a ...

Introduction Alcohol is consumed by an estimated 137.4 million people in the USA 12 years of age and older and, as a result, is estimated to have caused about 140 thousand deaths among people 20 to 64 ...

Why SaaS Founders Should Care About HDD Building a startup means constantly navigating trade-offs: limited capital, ...

Reform evaluation panels and grant review: ensure multidisciplinary review committees that include methodologists, applied ...

Doctronic reports that AI and doctors complement each other in diagnostics, balancing speed and accuracy with empathy and ...

Attention” is discipline: deciding which frictions to attack first so human judgment becomes faster, cheaper and more ...

A team of mathematicians has recently taken steps to improve our ability to predict future data. It’s not exactly ...

AI in Education, Machine Learning, Educational Research Methods, Causal Inference, Explainable AI Mgonja, T. (2025) Archaic Methods in a Data Rich World: Why Educational Research Must Embrace AI ...

Excel's power lies in its accessibility, though this very trait makes it a breeding ground for disastrous errors. A single ...