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Exercise & Fitness

Latest AI and machine learning research in exercise & fitness for healthcare professionals.

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Showing 1576-1596 of 4,831 articles
Personalized Machine Learning guided Intervention for Optimizing Lifestyle Behaviors in Depression

Personalized data-driven interventions for depression are much needed. Here, we leveraged N-of-1 mac...

Integrating Infection Burden and Multimodal Biomarkers for Early Detection of Alzheimers Disease: A Sheaf-ML Framework

Alzheimers disease (AD) remains a major global health challenge, with growing evidence linking chron...

Incorporating Dietary Information to Enhance Polygenic Prediction Models with Applications to Body Mass Index and Type 2 Diabetes

Polygenic predictors can enhance screening for biomedical conditions, such as metabolism-related tra...

Physical Activity Shapes Brain Structure, Function, and the Computational Mechanisms of Cognitive Control

Sedentarism is prevalent and associated with poorer mental and physical health. Whether everyday phy...

Advancing Cardiovascular Disease Diagnosis with an Interpretable and Responsible AI Framework

Cardiovascular disease (CVD) remains a leading global health threat, responsible for one in five dea...

Early Detection of Cardiovascular Disease Risk Using Multi-Parameter Biomarker Analysis and Machine Learning: A Prospective Cohort Study

Cardiovascular disease (CVD) remains the leading cause of mortality globally, with many events occur...

Hepatic and abdominal adiposity in type 2 diabetes as assessed with machine learning on CT scans

The distribution of abdominal adipose depots and their mechanistic links to type 2 diabetes remain i...

Comparing the Treatment and Side Effects of Existing Bariatric Surgery Procedures: An Observational Study

Bariatric surgery is an established treatment for obesity and its associated comorbidities, includin...

Navigating the design of simulated exercising peers: insights from a participatory design study.

BACKGROUND: To fight sedentary lifestyles, researchers have introduced various technological interve...

Jan 2025 40421451
Enhancing table tennis performance and physical fitness through digital technology: a quasi-experimental study based on the TPACK framework.

Educational digitization has made integrating digital technology into physical education a pivotal s...

Jan 2025 40416050
Revolutionizing health monitoring: Integrating transformer models with multi-head attention for precise human activity recognition using wearable devices.

BACKGROUND: A daily activity routine is vital for overall health and well-being, supporting physical...

Jan 2025 39269866
Dissecting the Predictors of Cyber-Aggression Through an Explainable Machine Learning Model.

The general aggression model (GAM) suggests that cyber-aggression stems from individual characterist...

Jan 2025 39690721
Estimation of Central Aortic Pressure Waveforms by Combination of a Meta-Learning Neural Network and a Physics-Driven Method.

The accurate non-invasive detection and estimation of central aortic pressure waveforms (CAPW) are c...

Jan 2025 39764747
Towards nation-wide analytical healthcare infrastructures: A privacy-preserving augmented knee rehabilitation case study

The purpose of this paper is to contribute towards the near-future privacy-preserving big data ana...

Ultra-Low Complexity On-Orbit Compression for Remote Sensing Imagery via Block Modulated Imaging

The growing field of remote sensing faces a challenge: the ever-increasing size and volume of imag...

How to Manage My Data? With Machine--Interpretable GDPR Rights!

The EU GDPR is a landmark regulation that introduced several rights for individuals to obtain info...

Wearable Accelerometer Foundation Models for Health via Knowledge Distillation

Modern wearable devices can conveniently record various biosignals in the many different environme...

Explainable machine learning for neoplasms diagnosis via electrocardiograms: an externally validated study

Background: Neoplasms remains a leading cause of mortality worldwide, with timely diagnosis being ...

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