Background Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), which significantly increases their risk of poor outcomes. However, current ...

According to Mercer's 2024 AI in Investment Management global manager survey, 91% of asset managers either currently use AI ...

Synopsys stock analysis: wide moat, AI-driven chip complexity growth, and Ansys deal impact. Read more macro analysis here.

A new light-based imaging approach has produced an unprecedented chemical map of the Alzheimer’s brain. Rice University researchers have produced what they describe as the first full, label-free ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

Read more about how machine learning and deep learning differ, where each is used, and how businesses choose between them in real scenarios.

To prevent algorithmic bias, the authors call for multivariable modeling frameworks that jointly incorporate biological sex, genetic ancestry, and gender-related life-course exposures.

Dr. Michael Spaeder of the University of Virginia previews his upcoming HIMSS26 talk on using AI and machine learning to ...

Meta wants us to believe there’s a difference between addiction and ‘problematic use.’ The harm to kids suggests otherwise ...

Optokinetic Nystagmus (OKN) is a natural reflexive eye movement in oculomotor studies, reflecting the health status of the visual system. Through accurate eye center annotation, physicians can observe ...

Machine learning requires humans to manually label features while deep learning automatically learns features directly from raw data. ML uses traditional algorithms like decision tress, SVM, etc., ...

Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Individual prediction uncertainty is a key aspect of clinical prediction model performance; however ...