Multiple sclerosis (MS) is most prevalent in Northern Europe and Canada, and more common in the northernmost latitudes. In ...

Background Persistent shockable rhythms (refractory to or recurring after three or more defibrillation attempts) are ...

Missing data can derail even the most promising analysis, but modern imputation techniques are transforming this challenge into a solvable problem. From straightforward substitutions to advanced ...

Introduction Gestational diabetes mellitus (GDM) is associated with a high risk of adverse perinatal outcomes. We evaluated ...

Temporary teams can build new systems, but permanent ones can both develop them and manage them after launch. by Ryan Nelson and Thomas H. Davenport In 2011, The New York Times was facing declines in ...

NHANES biomonitoring (2003–2018) linked serum PFAS measures to self-reported physician-diagnosed NMSC using adjusted logistic ...

This study highlights the potential for using deep learning methods on longitudinal health data from both primary and ...

Primary outcome measures The primary outcome was time to HIV care attrition, defined as death, discontinuation of ...

Machine learning (ML)-based models hold great potential to enhance and perhaps transform simulations of the Earth’s weather and climate across the range from synoptic to seasonal to annual to ...

Some school districts, including ones in Maine, New Mexico, Iowa and Oregon, are shifting to standards-based grading, where students are graded on the skills and concepts they learn instead of points ...

[Editor’s Note: Agents of Transformation is an independent GeekWire series, underwritten by Accenture, exploring the adoption and impact of AI and agents. See coverage of our related event.] Using an ...

The model, Muse Spark, performed better than Meta’s previous A.I. models but lags rivals on coding ability. By Eli Tan Reporting from San Francisco Meta on Wednesday unveiled a new flagship artificial ...