Predicting the outcome of mental health therapy is a vital goal. Statistical models have been used. Now, we turn to using AI ...

A machine learning model slightly outperforms a conventional regression model at predicting which children hospitalized for asthma will be readmitted within 180 days.

Deciding how fast to drive, brewing better beer, and winning bar bets — Mark Prell, a respected statistician, offers a modern ...

Interactions between pairs of humans lead to the emergence of a dyadic vigor with similar characteristics as individual vigor, where both partners adapt, with the slower having a critical role.

BACKGROUND: Cardiovascular-kidney-metabolic (CKM) syndrome is a recently proposed framework emphasizing the interconnected ...

It’s not often a math paper goes viral, but a new preprint from a theoretical physicist at Poland’s Jagiellonian University ...

This important cross-species study tests whether the corpus callosum contains parallel, segregated pathways for ipsilateral and contralateral visual-field information, rather than mixed inputs from ...

Organizational Norms and Work Demand as Predictors of Employees’ Perceived Productivity: Evidence from Financial Institutions in Malaysia Employee productivity remains a central concern for ...

What happens when this doctor goes keto and his LDL rockets to 574? We dive deep into the science, controversy, and personal decision-making behind the most misunderstood lipid profile in cardiology.

Background Early identification of patients at risk of heart failure (HF) provides opportunities for preventative management. Though models have been developed to predict HF incidence, their ...

This study presents a quantum photonic approach to time-series forecasting, enhancing prediction accuracy through multiphoton ...

Machine learning can sound pretty complicated, right? Like something only super-smart tech people get. But honestly, it’s ...