Latest AI and machine learning research in prevention for healthcare professionals.
Large-scale ecological restoration is increasingly promoted as a strategy for environmental sustainability, but its implications for population health remain underexamined. We study whether China's national ecological restoration pilot improved residents' self-rated health, and through which pathways these effects emerged. Using six waves of the China Family Panel Studies and the staggered rollout...
AIMS: Some studies have explored associations between physical activity (PA) and hypoglycaemia in real-life in type 1 diabetes (T1D) but without fully accounting for two major confounders, diet and insulin. We aimed to identify thresholds of PA characteristics, insulin, and carbohydrates associated with dysglycaemia across the exercise-recovery cycle in children with T1D. MATERIALS AND METHODS: Co...
Continuous monitoring of sweat pH and lactate is of great value for physiological assessment, yet existing sensors face two critical bottlenecks: prol...
PURPOSE: In cardiovascular patients, precise risk stratification is crucial for minimizing exercise-related risks and optimizing treatment efficacy du...
High-fat/choline diets can induce the production of the enterogenous metabolite trimethylamine-N-oxide (TMAO). TMAO is synthesized from its precursor ...
UNLABELLED: Accurate prediction of human metabolic rate is essential for thermal comfort evaluation. However, traditional static lookup table methods ...
Individuals with LDL cholesterol (LDL-C) ≥ 190 mg/dL face a markedly increased risk of major adverse cardiovascular events (MACE). Traditional risk ca...
BACKGROUND: AI-enabled chatbots and related conversational systems can facilitate human-computer interaction through natural language, personalization...
BACKGROUND: Relaxation techniques, such as the "safe place" imagery exercise, are simple and accessible strategies to cope with the negative effects o...
Cultural repertoires can influence access to resources and fitness across species, impacting individuals' environmental niches and social networks. Su...
BACKGROUND: SMS text message reminders have been used to promote many health behaviors, such as improving diet and physical activity, managing chronic...
BACKGROUND: Clinical improvement and survival after transcatheter aortic valve replacement (TAVR) remain difficult to predict. Although multiple predi...
The food microbiome, comprising microorganisms present in foods and fermentation, links diet, environment, and host physiology. This review examines i...
Optimizing murine models for studying Metabolic Dysfunction-Associated Steatohepatitis (MASH) and fibrosis is crucial for understanding disease mechan...
Patients with metabolic dysfunction-associated steatohepatitis (MASH) often suffer from a broad range of extrahepatic symptoms including fatigue and p...
BACKGROUND: As large language models become increasingly integrated into clinical workflows, medical students need structured opportunities to learn h...
BACKGROUND: Predicting pain intensity in patients with low back pain (LBP) remains a complex task due to the biopsychosocial nature of pain. Pain inte...
The instability of atherosclerotic plaques, particularly intraplaque hemorrhage (IPH), drives life-threatening cardiovascular events, a process in whi...
BACKGROUND: Exercise-induced desaturation (EID) during the 6-minute walk test (6MWT) is an established marker of adverse outcomes in patients with chr...
BACKGROUND: Suboptimal diet quality contributes to poor health. Numerous factors at all levels of the socioecological model intersect to influence ind...