Cardiovascular

Prevention

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

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The Role of Artificial Intelligence in Deciphering Diet-Disease Relationships: Case Studies.

Modernization of society from a rural, hunter-gatherer setting into an urban and industrial habitat,...

Prediction of oxygen uptake kinetics during heavy-intensity cycling exercise by machine learning analysis.

Nonintrusive estimation of oxygen uptake (V̇o) is possible with wearable sensor technology and artif...

Perioperative comparison between robot-assisted and laparoscopic radical cystectomy: An update meta-analysis.

We conducted this study to explore the efficacy and safety of laparoscopic radical cystectomy (LRC) ...

Exercise with a wearable hip-assist robot improved physical function and walking efficiency in older adults.

Wearable assistive robotics has emerged as a promising technology to supplement or replace motor fun...

Identifying Reasons for Statin Nonuse in Patients With Diabetes Using Deep Learning of Electronic Health Records.

Background Statins are guideline-recommended medications that reduce cardiovascular events in patien...

GutBug: A Tool for Prediction of Human Gut Bacteria Mediated Biotransformation of Biotic and Xenobiotic Molecules Using Machine Learning.

Dietary components and bioactive molecules present in functional foods and nutraceuticals provide va...

Robotic versus open total pancreatectomy: a systematic review and meta-analysis.

Limited data are available on postoperative outcomes in patients undergoing robotic total pancreatec...

The Environmental Conditions, Treatments, and Exposures Ontology (ECTO): connecting toxicology and exposure to human health and beyond.

BACKGROUND: Evaluating the impact of environmental exposures on organism health is a key goal of mod...

Research on Evaluation of University Emergency Management Ability Based on BP Neural Network.

University emergency management ability is an important part of university safety management. To eva...

SwimmerNET: Underwater 2D Swimmer Pose Estimation Exploiting Fully Convolutional Neural Networks.

Professional swimming coaches make use of videos to evaluate their athletes' performances. Specifica...

A Study on the Role of Affective Feedback in Robot-Assisted Learning.

In recent years, there have been many approaches to using robots to teach computer programming. In i...

Acute Stress-Induced Changes in the Lipid Composition of Cow's Milk in Healthy and Pathological Animals.

Producers of milk and dairy products have been faced with the challenge of responding to European so...

Lorcaserin and phentermine exert anti-obesity effects with modulation of the gut microbiota.

Although drugs have been reported to modulate the gut microbiota, the effects of anti-obesity drugs ...

Leg Muscle Activity and Joint Motion during Balance Exercise Using a Newly Developed Weight-Shifting-Based Robot Control System.

A novel and fun exercise robot (LOCOBOT) was developed to improve balance ability. This system can c...

In silico investigation on structure-function relationship of members belonging to the human SLC52 transporter family.

Riboflavin is an essential water-soluble vitamin that needs to be provided through the diet because ...

Automatic Assessment of Functional Movement Screening Exercises with Deep Learning Architectures.

(1) Background: The success of physiotherapy depends on the regular and correct unsupervised perform...

Use of Robot-Assisted Gait Training in Pediatric Patients with Cerebral Palsy in an Inpatient Setting-A Randomized Controlled Trial.

Robot-assisted gait training (RAGT) provides a task-based support of walking using exoskeletons. Evi...

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