Primary Care

Exercise & Fitness

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

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Showing 1324-1344 of 4,823 articles
Fuzzy logic for characterizing the moderate intensity of physical activity in children.

OBJECTIVES: The aim of this study was to better characterize the moderate intensity of PA among chil...

Jan 2015 25639212
Robotically assisted treadmill exercise training for improving peak fitness in chronic motor incomplete spinal cord injury: A randomized controlled trial.

OBJECTIVE: To assess the effectiveness of robotically assisted body weight supported treadmill train...

Dec 2014 25520035
Outcomes of Extraperitoneal Robot-Assisted Radical Prostatectomy in the Morbidly Obese: A Propensity Score-Matched Study.

INTRODUCTION: An increasing number of obese patients (body mass index [BMI] >30 kg/m(2)]) with local...

Dec 2014 25347555
Appraisal of adaptive neuro-fuzzy computing technique for estimating anti-obesity properties of a medicinal plant.

This research examines the precision of an adaptive neuro-fuzzy computing technique in estimating th...

Oct 2014 25453384
Variability of automated carotid intima-media thickness measurements by novice operators.

Carotid intima-media thickness (C-IMT) measurements provide a non-invasive assessment of subclinical...

Sep 2014 25216303
Identification of the Best Anthropometric Predictors of Serum High- and Low-Density Lipoproteins Using Machine Learning.

Serum high-density lipoprotein (HDL) and low-density lipoprotein (LDL) cholesterol levels are associ...

Aug 2014 25148675
A Randomized Controlled Trial of EEG-Based Motor Imagery Brain-Computer Interface Robotic Rehabilitation for Stroke.

Electroencephalography (EEG)-based motor imagery (MI) brain-computer interface (BCI) technology has ...

Apr 2014 24756025
Work-rate-guided exercise testing in patients with incomplete spinal cord injury using a robotics-assisted tilt-table.

PURPOSE: Robotics-assisted tilt-table (RTT) technology allows neurological rehabilitation therapy to...

Apr 2014 24712412
Deep Longitudinal Clusters of Type 2 Diabetes Pathophysiology and their Risk of Cardiovascular Disease Events and All-Cause Mortality

Objective: Despite the complex and non-linear progression of diabetes, its shared pathways with athe...

High-dimensional Characterization of Genome-Environment Fitness Landscapes in Klebsiella pneumoniae

Background Bacterial fitness is shaped by interactions between genome variation and environmental co...

Development and Validation of a Machine Learning Model to Predict Prognosis in Patients with Advanced Head and Neck Cancer

Importance Prognostic tools beyond staging are needed to guide treatment and counseling in head and ...

Internal state dynamically gates task-specific attractor dynamics in prefrontal cortex

Internal states such as motivation and task engagement influence cognitive functions. Working memory...

AI-assisted improvement of Aspergillus oryzae β-galactosidase using an Ensemble of Protein Language Models

{beta}-galactosidases (BGs) are essential enzymes widely used in the food industry, particularly in ...

ToxCastLite: A portable semantic evidence graph linking in vitro bioactivity, in vivo toxicity, and exposure-use context

Motivation: The ToxCast database is a valuable resource for computational toxicology and new approac...

Factors Influencing Vitamin D Status in Guiyang, China: A Random Forest and SHAP Analysis

Objective To assess serum 25-hydroxyvitamin D [25(OH)D] levels in a health examination population in...

Real-time hip biomechanics from smart garments via a physics-informed neural network

Tissue-level mechanical stimuli are primary drivers of tissue adaptation and can be optimised during...

CUOREMA: Immersive Bio & Behavioral Feedback and Digital Interventions for Cardiac Rehabilitation - Exploratory Analysis

Cardiac rehabilitation is critical for secondary prevention, yet long-term adherence remains low. We...

Pathway-Centric Integration of CRISPR Fitness with Molecular Features Draws Cancer State Maps

Cancer cells display heterogeneous pathway activity that shapes therapeutic vulnerability, but mappi...

Classic machine learning on top of multiple position weight matrices improves genomic prediction of transcription factor binding sites

Motivation: DNA motifs recognised by transcription factors are typically represented as position wei...

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