Cardiovascular

Prevention

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

11,961 articles
Stay Ahead - Weekly Prevention research updates
Subscribe
Browse Specialties
Showing 1-21 of 11,961 articles
Beyond the type 1 pattern: comprehensive risk stratification in Brugada syndrome.

Brugada Syndrome (BrS) is an inherited cardiac ion channelopathy associated with an elevated risk of...

Longitudinal big biological data in the AI era.

Generating longitudinal and multi-layered big biological data is crucial for effectively implementin...

Thermodynamic analysis and intelligent modeling of statin drugs solubility in supercritical carbon dioxide.

Evaluating the solubility of various drugs in supercritical CO is a fundamental step in developing a...

Metagenomic estimation of absolute bacterial biomass in the mammalian gut through host-derived read normalization.

Absolute bacterial biomass estimation in the human gut is crucial for understanding microbiome dynam...

Machine learning-based high-benefit approach versus traditional high-risk approach in statin therapy: the Shizuoka Kokuho database study.

Statins are widely prescribed for the primary prevention of cardiovascular diseases, yet individual ...

Comparative evaluation of mechanistic models for biogas production in DIET-enhanced anaerobic digestion.

Statistical modelling serves as a valuable tool for predicting biogas production during the anaerobi...

Shared pathogenic mechanisms linking obesity and idiopathic pulmonary fibrosis revealed by bioinformatics and in vivo validation.

Previous studies have suggested a potential correlation between obesity and idiopathic pulmonary fib...

Extensive novel diversity and phenotypic associations in the dromedary camel microbiome are revealed through deep metagenomics and machine learning.

The dromedary camel, also known as one-humped camel or Arabian camel, is iconic and economically imp...

Analysis of the mechanism of physical activity enhancing well-being among college students using artificial neural network.

This study explores the impact mechanism of college students' sports behavior on their well-being by...

Deep phenotyping of health-disease continuum in the Human Phenotype Project.

The Human Phenotype Project (HPP) is a large-scale deep-phenotype prospective cohort. To date, appro...

The apportionment of dietary diversity in wildlife.

Evaluating species' roles in food webs is critical for advancing ecological theories on competition,...

AI-Driven Smart Sportswear for Real-Time Fitness Monitoring Using Textile Strain Sensors.

Wearable biosensors have revolutionized human performance monitoring by enabling real-time assessmen...

A Scoping Review on AI-Supported Interventions for Non-Pharmacological Management of Chronic Rheumatic Diseases.

This review summarizes AI-supported non-pharmacological interventions for adults with chronic rheuma...

Inferring concussion history in athletes using pose and ground reaction force estimation and stability analysis of plyometric exercise videos.

Concussions present a significant risk to athletes, with females exhibiting higher rates and prolong...

A pilot study of the potential role of ChatGPT in stated-calorie diet planning.

BACKGROUND/OBJECTIVES: Developments in artificial intelligence encourage society to seek advice from...

Data Acquisition of Exercise and Fitness Pressure Measurement Based on Artificial Intelligence Technology.

This project aims to improve the accuracy of fitness and physical pressure ratings, focusing on bask...

Computational Strategies to Enhance Vitamin B Biosynthesis Potential of Microbes.

Vitamin B is a vital nutrient for the normal functioning of many metabolic processes. It has a chara...

Machine learning-assisted optimization of dietary intervention against dementia risk.

A healthy diet has been associated with a reduced risk of dementia. Here we devised a Machine learni...

Knee injury prevention via personalized exercise using EDAS method and Sugeno Weber operator under complex q rung orthopair fuzzy data.

Knee injuries are common in several people, frequently controlling for significant injuries and heal...

Machine learning models integrating dietary data predict all-cause mortality in U.S. NAFLD patients: an NHANES-based study.

BACKGROUND: Non-alcoholic fatty liver disease (NAFLD) is a leading cause of chronic liver disease, c...

Improved convolutional neural network for precise exercise posture recognition and intelligent health indicator prediction.

This paper presents a novel framework for accurate exercise posture recognition and health indicator...

Browse Specialties