Overview:  Python and Jupyter offer a simple, powerful setup for beginner-friendly data science learning. Real-world datasets ...

This article is a continuation of the 1st Stryker Brigade Combat Team (SBCT), 4th Infantry Division’s “Moneyball for Gunnery” ...

Health researchers need to fully understand the underlying assumptions to uncover cause and effect. Timothy Feeney and Paul Zivich explain Physicians ask, answer, and interpret myriad causal questions ...

Overview: Predictive models turn historical data into reliable forecasts that support accurate planning across ...

After mass shootings, Democrats are nearly four times more likely than Republicans to post about guns on social media, but the disparity goes deeper ...

Background While maternal depression and anxiety have been linked to adverse childhood respiratory outcomes, the role of ...

Background Adverse childhood experiences (ACEs) are traumatic events that occur before a child reaches the age of 15 with ...

Background In 2024, the UK National Institute of Health and Care Excellence (NICE) recommended TriageHF alerts as an option ...

Aim To understand whether the risk of complications following paediatric cardiac surgery differs according to a child’s ...

Researchers explore the use of smartphones coupled with clinical scores to evaluate motor function and predict dopamine ...

The test, developed by Astrin Biosciences, utilizes deep proteomic profiling and a machine learning classifier to identify ...