Prevention

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 have examined perseverance in small samples or under supervised settings, little is known about early behavioral signals of long-term perseverance in large, unsupervised cohorts. This study analyzes one of the largest datasets on home rehabilitation ...

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. OBJECTIVE: This study aimed to develop a predictive model for incident early mobility limitations (EMLs) in late middle-aged and older adults, based on a simple functional test and modifiable lifestyle factors to facilitate a home-based self-assessment...

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...

Motion as Medicine: Harnessing the Power of Movement-Based Therapies.

Movement-based therapies use physical activity to alleviate pain, improve function, and enhance overall well-being. Evidence shows that regular moveme...

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...

Nutrigenomics in precision livestock and poultry farming: Enhancing productivity, welfare, and sustainability through gene-tailored diets.

Nutrigenomics has emerged as a valuable framework for improving precision livestock and poultry production by elucidating how diet interacts with gene...

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...

Co-morbid biomarkers for sarcopenic obesity associated with gut microbiota metabolites: From burden to treatment.

BACKGROUND: The detrimental cycle of sarcopenic obesity (SO) significantly reduces quality of life in older adults, while the mechanisms are still unc...

How improper dataset split hinders model generalizability: a systematic comparison in Human activity recognition and exercise evaluation tasks.

BACKGROUND: Human Activity Recognition (HAR) and exercise assessment models are increasingly used in healthcare to support clinical evaluation, rehabi...

A Bilingual AI-Based Chatbot for Nutrition Education in a Food Is Medicine Intervention for High-Risk Pregnant Women: Design and Development Study.

BACKGROUND: Conversational agents (artificial intelligence [AI]-based chatbots) offer a novel approach to health interventions by providing personaliz...