A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

A groundbreaking study from Stanford University has challenged the long-held belief that aging happens steadily over time.

This paper presents a novel framework for optimizing Carbon Release (CR) through an AI-driven approach to Fossil Fuel Intake (FFI) management. We propose a new training methodology for AI models to ...

When AI prioritizes uniform productivity, it excludes. When it accounts for human variability, it unlocks overlooked talent.

Microwave frequency combs offer a powerful platform for precision timing, sensing, and signal processing, but their practical use has long been ...

Elevated fine particulate matter and nitrogen dioxide exposure in the early to middle weeks of pregnancy had links to lower ...

Background The long-term trajectories of estimated glomerular filtration rate (eGFR) and their relation to early proteinuria ...

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

In this digital age, online schooling could give us another benefit.

Leaders increasingly rely on AI in hiring. Five governance questions help ensure AI systems are monitored, audited and ...

Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving classification and segmentation tasks.

The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...