Cardiovascular

Prevention

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

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Pump Speed Optimization in Patients Implanted With the HeartMate 3 Device.

BACKGROUND: Pump speed optimization in patients implanted with a ventricular assist device represent...

Detraining effects of regular Tai Chi exercise on postural control ability in older women: A randomized controlled trial.

BACKGROUND/OBJECTIVE: This study aimed to investigate the training and detraining effects of Tai Chi...

Effect of Health and Training on Ultrasensitive Cardiac Troponin in Marathon Runners.

PURPOSE: Cardiac troponin (cTn) is the gold standard biomarker for assessing cardiac damage. Previou...

Survey of potential receptivity to robotic-assisted exercise coaching in a diverse sample of smokers and nonsmokers.

A prior project found that an intensive (12 weeks, thrice weekly sessions) in-person, supervised, ex...

Predicting net joint moments during a weightlifting exercise with a neural network model.

The purpose of this study was to develop and train a Neural Network (NN) that uses barbell mass and ...

Using machine learning on cardiorespiratory fitness data for predicting hypertension: The Henry Ford ExercIse Testing (FIT) Project.

This study evaluates and compares the performance of different machine learning techniques on predic...

Extracting Healthcare Quality Information from Unstructured Data.

Healthcare quality research is a fundamental task that involves assessing treatment patterns and mea...

L Extracts against : Antimicrobial activity, antioxidant capacity, hygienic behavior and colony strength.

The aim of this work was to compare the antimicrobial activity against and the antioxidant capacity...

Development of a New Robotic Ankle Rehabilitation Platform for Hemiplegic Patients after Stroke.

A large amount of hemiplegic survivors are suffering from motor impairment. Ankle rehabilitation exe...

Application of kernel principal component analysis and computational machine learning to exploration of metabolites strongly associated with diet.

Computer-based technological innovation provides advancements in sophisticated and diverse analytica...

Boosted neural networks scoring functions for accurate ligand docking and ranking.

Predicting the native poses of ligands correctly is one of the most important steps towards successf...

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...

Meta-Analysis of Expression Datasets: Comparing Virus Infection and Blood-Fed Transcriptomes to Identify Markers of Virus Presence.

The mosquito (L.) is vector of several arboviruses including dengue, yellow fever, chikungunya, and...

Anti-Obesity Property of Lichen Extract in 3T3-L1 Cells and Diet-Induced Obese Mice.

(TV) is an edible lichen that is prevalent in the alpine zone of East Asia. This study evaluated th...

Milk from cows fed a diet with a high forage:concentrate ratio improves inflammatory state, oxidative stress, and mitochondrial function in rats.

Excessive energy intake may evoke complex biochemical processes characterized by inflammation, oxida...

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...

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