Prevention

Experiences and Perceived Influence of the Artificial Intelligence-Based Health Education Accurately Linking System (AI-HEALS) on Health Behaviors Among Patients With Type 2 Diabetes: Qualitative Study.

BACKGROUND: The management of type 2 diabetes requires sustained self-management across diet, physical activity, medication adherence, and blood glucose monitoring; however, maintaining these behaviors in daily life remains difficult for many patients. Artificial intelligence-enabled and mobile health interventions have shown promise in supporting diabetes education and self-management, but eviden...

Big data and artificial intelligence in animal nutrition: a new era of precision feeding.

The convergence of Big Data and Artificial Intelligence (AI) is redefining animal nutrition by enabling precision feeding systems that are individualized, data-driven, and sustainability-oriented. This review synthesizes recent advances in multi-omics technologies, sensor-based monitoring, and machine learning applications across feed formulation, health surveillance, and production optimization. ...

Spatiotemporal skeleton based learning for automatic exercise quality assessment and real time posture correction.

BACKGROUND: Home-based fitness training requires automated systems for exercise quality assessment and real-time posture correction without profession...

EJHF expert consensus statement on the diagnosis and management of hypertrophic cardiomyopathy.

Hypertrophic cardiomyopathy (HCM) is the most prevalent genetic cardiac disease and a leading cause of heart failure, arrhythmia, and sudden cardiac d...

Myocardial relaxation, left ventricular filling, and exercise capacity in older subjects with dyspnea.

With aging, left ventricular (LV) early diastolic lengthening declines. Delayed or dyssynchronous untwisting and relaxation may slow and reduce fillin...

Forecasting Dropout in Home-Based Movement Rehabilitation after Stroke with Sensors and Machine Learning.

Adherence to home-based rehabilitation can support recovery after stroke, yet many patients disengage within the first few weeks. While prior studies ...

Early Identification of Mobility Limitations in Community-Dwelling Middle-Aged and Older Adults: Development of a Prediction Model Based on a Prospective Cohort.

BACKGROUND: With the aging of the global population, preventing the onset of mobility limitations is considered a worldwide public health priority. OB...

Multidimensional balance assessment and machine learning gait stability prediction in elderly women.

To develop and validate a comprehensive balance assessment scale specifically designed for elderly women and construct predictive models for gait stab...

Molecular basis of precision nutrition: Food components, microbiome-derived metabolites, and multi-omics modeling.

Metabolic disorders, including obesity, type 2 diabetes, metabolic syndrome, and fatty liver disease, reflect multifactorial interactions among diet, ...

Bringing environment back into human evolution: why human genetics needs genome-environment association studies.

Understanding the genetic basis of human adaptation to environmental pressures is a central question in evolutionary biology. Recent advancements in g...

Inspiratory muscle training devices for chronic lung disease management: current evidence and future directions.

INTRODUCTION: Inspiratory muscle training (IMT) is a potential adjunct therapy to improve inspiratory muscle strength and endurance, exercise capacity...

Communication-Based Teaching on Childhood Obesity and the Planetary Health Diet in Medical Education: Proof-of-Concept Study Comparing 4 Information Sources.

BACKGROUND: Childhood obesity constitutes a complex medical and psychosocial challenge that requires both nutritional knowledge and sensitive, relatio...

Quantum-Enabled Approaches to Precision Nutrition: Linking Molecular Interactions with Metabolic Prediction.

Precision nutrition aims to tailor dietary guidance to individual biology, yet current methods struggle to integrate complex molecular and multi-omic ...

Effective real-time self-rehabilitation exercise monitoring and correctness system for low back pain management.

In the modern era of working, Musculoskeletal Disorders (MSDs) are increasing drastically. One of the leading causes of MSD is Low Back Pain (LBP). Pa...

Comprehensive cross-cohort analysis reveals global gut microbiome signatures of celiac disease.

BACKGROUND: Celiac disease affects ~1-2% of people and remains incurable, requiring lifelong dietary restriction. The gut microbiome is thought to con...

An upper limb stroke rehabilitation exercise video dataset.

Stroke is one of the leading causes of disability worldwide with a disproportionately high burden in low and middle-income countries. In such countrie...

From Fitness to Cognition: Machine-Learning Prediction of Cognitive Performance Using Physiological Parameters in Healthy Adults.

INTRODUCTION: Current cognitive tasks are not suitable for frequent monitoring of cognitive function in healthy adults. Increasing evidence suggests t...

Feasibility and Acceptability of a Prevention-Focused Screener for Perinatal Depression Risk: Mixed Methods Cohort Study.

BACKGROUND: More than 20% of perinatal women experience depression, with suicide being a leading cause of maternal death in the United States. Profess...

Utilizing generative artificial intelligence to create simulated patient for history taking in gynecology.

INTRODUCTION: This study aimed to evaluate the effectiveness of a generative artificial intelligence based simulated patient model in improving gyneco...

Sex-specific microbial and tryptophan signatures of depression implicate archaeal methanogens and indole-3-acetic acid only in women.

Sex differences in mental health are often overlooked, yet gut microbiota-host metabolite interactions may contribute to sexual dimorphism in depressi...