Primary Care

Exercise & Fitness

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

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Predicting non-melanoma skin cancer via a multi-parameterized artificial neural network.

Ultraviolet radiation (UVR) exposure and family history are major associated risk factors for the de...

Effects of Sub-lethal Concentrations of Silver Nanoparticles on a Simulated Intestinal Prokaryotic-Eukaryotic Interface.

Nanotechnology applications are expected to bring a range of benefits to the food sector, aiming to ...

A general framework for sensor-based human activity recognition.

Today's wearable devices like smartphones, smartwatches and intelligent glasses collect a large amou...

Calibration of raw accelerometer data to measure physical activity: A systematic review.

Most of calibration studies based on accelerometry were developed using count-based analyses. In con...

Comparison of central hemodynamic parameters for young basketball athletes and control group.

BACKGROUND: Long-term exercise training may have negative effects on cardiovascular functions. Measu...

Serum Levels of Visfatin, Omentin and Irisin in Patients with End-Stage Lung Disease Before and After Lung Transplantation.

BACKGROUND The aim of this study was to investigate serum concentrations of visfatin, irisin, and om...

Is There Any Relationship between Plasma 25-Hydroxyvitamin D₃, Adipokine Profiles and Excessive Body Weight in Type 2 Diabetic Patients?

A growing interest in the role of vitamin D in metabolic diseases led us to study the relationships ...

Virtual reality to augment robot-assisted gait training in non-ambulatory patients with a subacute stroke: a pilot randomized controlled trial.

BACKGROUND: Active performance is crucial for motor learning, and, together with motivation, is beli...

Recovery Responses to Maximal Exercise in Healthy-Weight Children and Children With Obesity.

PURPOSE: The purpose of this study was to examine differences in heart rate recovery (HRRec) and oxy...

Phase Relationship between DLMO and Sleep Onset and the Risk of Metabolic Disease among Normal Weight and Overweight/Obese Adults.

Circadian misalignment is hypothesized to contribute to increased diabetes and obesity among shift w...

Comparison of machine learning techniques to predict all-cause mortality using fitness data: the Henry ford exercIse testing (FIT) project.

BACKGROUND: Prior studies have demonstrated that cardiorespiratory fitness (CRF) is a strong marker ...

Egg Excretion does not Increase after Exercise: Implications for Diagnostic Testing.

Children are frequently invited to exercise before micturition, as it is believed that this activity...

The identification of high potential archers based on fitness and motor ability variables: A Support Vector Machine approach.

Support Vector Machine (SVM) has been shown to be an effective learning algorithm for classification...

The Metabolic Response of Skeletal Muscle to Endurance Exercise Is Modified by the ACE-I/D Gene Polymorphism and Training State.

The insertion/deletion polymorphism in the gene for the regulator of vascular tone, angiotensin-conv...

Emergent coordination underlying learning to reach to grasp with a brain-machine interface.

The development of coordinated reach-to-grasp movement has been well studied in infants and children...

Ventilatory efficiency and aerobic capacity in people with multiple sclerosis: A randomized study.

OBJECTIVES: To assess ventilatory efficiency and aerobic capacity in people with multiple sclerosis ...

Vitamin D Deficiency and Atopic Dermatitis: Consider Disease, Race, and Body Mass.

Vitamin D deficiency causes rickets, but has been associated with various diseases, including atopic...

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