Prevention

Advancing Precision Nutrition Through Multimodal Data and Artificial Intelligence.

Interindividual variability in metabolic responses to diets complicates the relationship between nutrition and metabolic health, which highlights the existence of metabolic heterogeneity across populations. This variability challenges the conventional "one-size-fits-all" approach to dietary recommendations and underscores the need for precision nutrition. In the current era, characterized by break...

Machine learning-assisted wearable SERS-microfluidic system for rapid detection of sweat biomarkers and stimulants.

Sweat is an ideal biofluid for noninvasive monitoring of athletes' physiological status during exercise, as its rich chemical composition directly reflects health and metabolic state. Herein, we develop a wearable device based on segmented circular microfluidic paper-based surface-enhanced Raman scattering (SCMP-SERS) for real-time sweat analysis during physical activity. The core sensor incorpora...

Performance of large language models in answering frequently-asked questions on celiac disease.

OBJECTIVES: Celiac disease (CeD) is a common autoimmune condition requiring lifelong adherence to a gluten-free diet (GFD). Patients and caregivers in...

Modularly-Assembled Smart Microneedle Platform for Machine Learning-Driven Personalized Health Monitoring.

Given the inherent complexity of metabolic pathways and disease-associated agents, next-generation healthcare necessitates wearable, non-invasive, and...

Leveraging AI for Analysis of Digital Health Information on Cancer Prevention Among Arab Youth and Adults: Content Analysis.

BACKGROUND: As TikTok (ByteDance) grows as a major platform for health information, the quality and accuracy of Arabic-language cancer prevention cont...

Cornus officinalis extract modulates rumen microbiome and growth of lambs fed a high-concentrate diet.

Advances in the postoperative care of the liver transplant recipient.

PURPOSE OF REVIEW: Survival rates following liver transplantation now exceed 90% at one year. However, the patient group undergoing liver transplantat...

BackTracker: Machine learning to identify kinematic phenotypes for personalised exercise management in non-specific low back pain.

BACKGROUND: Low back pain (LBP) is a leading cause of global disability. Most cases are non-specific (NSLBP) and lack identifiable causes. Early activ...

A three-dimensional skin-conformal hybrid electrode system for burden-free sEMG monitoring during exercises.

High-fidelity surface electromyography (sEMG) acquisition under dynamic conditions is critical for rehabilitation, sports monitoring, and human-machin...

Unraveling nonlinear impacts of seasonal climate and built environments on exercise walking in high-density cities via a modified machine learning approach.

BACKGROUND: Physical inactivity is a major health risk worldwide, while walking is one of the most accessible forms of exercise that improves public h...

A large language model for complex cardiology care.

The scarcity of subspecialist medical expertise poses a considerable challenge for healthcare delivery. This issue is particularly acute in cardiology...

The effect of artificial intelligence-assisted pulmonary rehabilitation on exercise capacity: A systematic review and meta-analysis.

INTRODUCTION: Artificial intelligence (AI) technologies are increasingly being integrated into pulmonary rehabilitation (PR) to improve individualizat...

Personal reflection on future of psychiatry.

History of Psychiatry can be of help, not only not to repeat the mistakes of the past, but also to find good heuristic sources in old books. A constan...

Spinal cord injury impact on skin temperature regulation during graded exercise: metaheuristic data mining-based predictions.

People with spinal cord injury (SCI) show impaired thermoregulation during exercise, making skin temperature a noninvasive indicator. This study appli...

Patients' Attitudes and Beliefs Toward Artificial Intelligence Use in Cancer Care: Cross-Sectional Survey Study.

BACKGROUND: Artificial intelligence (AI) is being rapidly integrated into oncologic care, yet little is known about how patients perceive these applic...

ECG and PPG Signals-Based Premature Ventricular Contraction Detection Methods: A Review, Key Challenges, and Future Directions.

Premature ventricular contraction (PVC) is a common cardiac arrhythmia, and its timely and automated detection is crucial for preventing life-threaten...

Gamified Physical Education and Cognitive Performance Among Chinese Secondary School Students: Cross-Sectional Moderation Mediation Study.

BACKGROUND: Educators are exploring new methods to educate beyond the classroom as global concerns about students' cognitive, emotional, and social we...

Advancements in psoriasis classification using custom transfer learning algorithms.

Psoriasis is a skin disorder which mainly occurs as a rash, scaly areas and an itchy skin. The symptoms usually occur on the chest, elbows, and the sc...

ChatGPT Outperforms Personal Trainers in Answering Common Exercise Training Questions.

Since its launch, the chatbot ChatGPT has gained significant popularity and may serve as a valuable resource for evidence-based exercise training advi...

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

Wearable biosensors have revolutionized human performance monitoring by enabling real-time assessment of physiological and biomechanical parameters. H...