Background Restarting direct oral anticoagulants (DOACs) after a serious bleeding event in patients with atrial fibrillation ...

Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...

The era of predictive modeling enhanced with machine learning and artificial intelligence (AI) to aid clinical ...

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single ...

Discover how leading web design companies create future-proof websites designed to adapt to evolving technologies, from modular architectures and scalable infrastructure to AI integration and ...

BACKGROUND: Primary aldosteronism (PA), an overt form of renin-independent aldosterone production, leads to a disproportionately high rate of major adverse cardiovascular events (MACEs). Mounting ...

VanderSchaaf, C. L. (2025) Predictive Ability of Volume-Basal Area Ratios (VBARs) in Minnesota, USA Forests to Estimate ...

This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...

Background Coarctation of the aorta (CoA) has good modern results, but large multicentre longitudinal data on outcomes, especially hospital resource utilisation through childhood and adolescence, are ...

This study aimed to explore the impact of digital transformation on the innovation ability of enterprises to help enterprises improve their innovation capabilities in digital transformation. Using an ...