Cardiovascular

Prevention

Latest AI and machine learning research in prevention for healthcare professionals.

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Effectiveness of intragastric balloon for obesity: A systematic review and meta-analysis based on randomized control trials.

BACKGROUND: Obesity has become a worldwide epidemic, and many methods are currently used to reduce o...

Feasibility of cardiopulmonary exercise testing and training using a robotics-assisted tilt table in dependent-ambulatory stroke patients.

BACKGROUND: We evaluated the feasibility of an augmented robotics-assisted tilt table (RATT) for inc...

The association between cardiorespiratory fitness and abdominal adiposity in postmenopausal, physically inactive South Asian women.

In South Asians, a unique obesity phenotype of high abdominal fat is associated with increased cardi...

Stress Testing of an Artificial Pancreas System With Pizza and Exercise Leads to Improvements in the System's Fuzzy Logic Controller.

BACKGROUND: Under controlled conditions, the Dose Safety artificial pancreas (AP) system controller,...

Muscle damage and immune responses to prolonged exercise in environmental extreme conditions.

BACKGROUND: This study aimed to investigate the effect of prolonged exercise with and without a ther...

Levosimendan improves exercise performance in patients with advanced chronic heart failure.

AIMS: Cardiopulmonary exercise test (CPET) provides parameters such as peak VO and ventilation/CO pr...

Broiler responses to digestible threonine at different ages: a neural networks approach.

Three experiments were conducted with broiler chickens to evaluate the effects of digestible threoni...

HEPNet: A Knowledge Base Model of Human Energy Pool Network for Predicting the Energy Availability Status of an Individual.

HEPNet is an electronic representation of metabolic reactions occurring within human cellular organi...

Evaluating the User Experience of Exercising Reaching Motions With a Robot That Predicts Desired Movement Difficulty.

The notion of an optimal difficulty during practice has been articulated in many areas of cognitive ...

Design and control of an active 1-DoF mechanism for knee rehabilitation.

A 1-DoF robot is designed and fabricated to be used for knee rehabilitation training. The mechanism ...

Prevalence of aspirin resistance in Asian-Indian patients with stable coronary artery disease.

OBJECTIVE: To evaluate the prevalence of pharmacological resistance to aspirin therapy by measuring ...

A novel neural-inspired learning algorithm with application to clinical risk prediction.

Clinical risk prediction - the estimation of the likelihood an individual is at risk of a disease - ...

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 ...

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...

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