Primary Care

Exercise & Fitness

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

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Showing 22-42 of 7,405 articles
Data Acquisition of Exercise and Fitness Pressure Measurement Based on Artificial Intelligence Technology.

This project aims to improve the accuracy of fitness and physical pressure ratings, focusing on bask...

Sitting time and risk of cancer incidence and cancer mortality in postmenopausal women: the Women's Health Accelerometry Collaboration.

PURPOSE: Few studies have explored whether accelerometer-measured sedentary behavior increases cance...

Leveraging protein language models for cross-variant CRISPR/Cas9 sgRNA activity prediction.

MOTIVATION: Accurate prediction of single-guide RNA (sgRNA) activity is crucial for optimizing the C...

Knee injury prevention via personalized exercise using EDAS method and Sugeno Weber operator under complex q rung orthopair fuzzy data.

Knee injuries are common in several people, frequently controlling for significant injuries and heal...

Artificial Intelligence-Powered Insights into Polyclonality and Tumor Evolution.

Recent studies have revealed that polyclonality-where multiple distinct subclones cooperate during e...

Intelligent Design and Simulation of High-Entropy Alloys via Machine Learning and Multiobjective Optimization Algorithms.

High-entropy alloys (HEAs) are innovative metallic materials with unique properties and wide potenti...

Nurses' perspectives on AI-Enabled wearable health technologies: opportunities and challenges in clinical practice.

BACKGROUND: Wearable health technologies, such as smartwatches, biosensor patches, and fitness track...

Improved convolutional neural network for precise exercise posture recognition and intelligent health indicator prediction.

This paper presents a novel framework for accurate exercise posture recognition and health indicator...

A generalized platform for artificial intelligence-powered autonomous enzyme engineering.

Proteins are the molecular machines of life with numerous applications in energy, health, and sustai...

A supervised machine learning approach with feature selection for sex-specific biomarker prediction.

Biomarkers are crucial in aiding in disease diagnosis, prognosis, and treatment selection. Machine l...

Research Gaps, Challenges, and Opportunities in Automated Insulin Delivery Systems.

BACKGROUND: Since the discovery of the life-saving hormone insulin in 1921 by Dr Frederick Banting i...

How does social support influence autonomous physical learning in adolescents? Evidence from a chain mediation and latent profile analysis.

PURPOSE: This study examines how social support influences adolescents' autonomous physical learning...

[From global strategy to local consultation: A future vision of physical activity in primary care].

This article reflects on the key role that primary care must play in promoting physical activity as ...

Investigating the benefits of artificial neural networks over linear approaches to BMI decoding.

Brain-machine interfaces (BMI) aim to restore function to persons living with spinal cord injuries b...

Diagnosis, clinical management, and emerging strategies for coronary artery disease in patients with cancer.

The intersection of cancer and coronary artery disease (CAD) presents complex clinical challenges re...

Prime editor-based high-throughput screening reveals functional synonymous mutations in human cells.

Synonymous mutations are generally considered neutral, while their roles in the human genome remain ...

A Machine Learning Analysis of Physiological Monitoring Signals to Detect Small Airway Narrowing Due to Cold Air Exposure in Asthma.

Asthma is a chronic inflammatory disease of the small airways, affecting over 200 million people glo...

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