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Exercise & Fitness

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

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Aerobic Fitness is a Predictor of Body Composition in Women With Breast Cancer at Diagnosis.

BACKGROUND: The objective of this study was to investigate the relationship of aerobic fitness (AF) ...

Anaerobic condition induces a viable but nonculturable state of the PCB-degrading Bacteria Rhodococcus biphenylivorans TG9.

Significant microbial removal of highly chlorinated polychlorinated biphenyls (PCBs) requires the co...

Data mining of human plasma proteins generates a multitude of highly predictive aging clocks that reflect different aspects of aging.

We previously identified 529 proteins that had been reported by multiple different studies to change...

Prediction of Type II Diabetes Onset with Computed Tomography and Electronic Medical Records.

Type II diabetes mellitus (T2DM) is a significant public health concern with multiple known risk fac...

Predicting complete cytoreduction for advanced ovarian cancer patients using nearest-neighbor models.

BACKGROUND: The foundation of modern ovarian cancer care is cytoreductive surgery to remove all macr...

Sensor-based indicators of performance changes between sessions during robotic surgery training.

Training of surgeons is essential for safe and effective use of robotic surgery, yet current assessm...

Quantifying trunk neuromuscular control using seated balancing and stability threshold.

Performance during seated balancing is often used to assess trunk neuromuscular control, including e...

Kinematic Calibration of a Parallel 2-UPS/RRR Ankle Rehabilitation Robot.

In order to better perform rehabilitation training on the ankle joint complex in the direction of do...

Changes in body composition and substrate utilization after a short-term ketogenic diet in endurance-trained males.

Few studies have investigated the short-term effects of a very low carbohydrate ketogenic diet (KD) ...

Preschoolers' Motivation to Over-Imitate Humans and Robots.

From preschool age, humans tend to imitate causally irrelevant actions-they over-imitate. This study...

Importance of general adiposity, visceral adiposity and vital signs in predicting blood biomarkers using machine learning.

INTRODUCTION: Blood biomarkers are measured for their ability to characterise physiological and dise...

Computer Kinesiology: New Diagnostic and Therapeutic Tool for Lower Back Pain Treatment (Pilot Study).

The aim of this study was to demonstrate the effectiveness of the diagnostic and therapeutic medical...

Importance of anthropometric features to predict physical performance in elite youth soccer: a machine learning approach.

The present study aimed to determine the contribution of soccer players' anthropometric features to ...

Understanding climate phenomena with data-driven models.

In climate science, climate models are one of the main tools for understanding phenomena. Here, we d...

Discriminating between sleep and exercise-induced fatigue using computer vision and behavioral genetics.

Following prolonged swimming, cycle between active swimming bouts and inactive quiescent bouts. Swi...

Robot-assisted pelvic urologic surgeries: is it feasible to perform under reduced tilt?

To evaluate the feasibility and outcomes of performing robot-assisted pelvic surgery at a reduced an...

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