Today, let's take a closer look at incident response playbooks: how to build one, tailor it for secret leaks, take actions, ...

In a study titled Recent Applications of Machine Learning Algorithms for Pesticide Analysis in Food Samples, published in the ...

Insufficient physical activity (PA) among children has become a major global public health concern. The family environment ...

Intrinsic neural attractors and extrinsic environmental inputs jointly steer the dynamic trajectories of brain activity ...

Introduction One of the challenges in managing patients with hantavirus infection is accurately identifying individuals who are at risk of developing severe disease. Prompt identification of these ...

Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...

Background Low socioeconomic status (SES) is linked to increased cardiovascular risk, but its association with carotid atherosclerosis in the general population is less well studied. We examined ...

Objectives This study examined discharge outcomes and their predictors among patients enrolled in remote patient monitoring (RPM) support in Ontario, Canada. Design A 6-month competing risk survival ...

Can deep learning catch chronic illness before symptoms show? This article explores how time-aware neural networks are reshaping early detection and care planning for conditions like diabetes and COPD ...

Time-dependent driving has become a powerful tool for creating novel nonequilibrium phases such as discrete time crystals and ...

Disrupting left superior frontal sulcus selectively impaired perceptual but not value-based decisions, revealing segregated ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...