Prevention

Promises and perils of generative artificial intelligence: a narrative review informing its ethical and practical applications in clinical exercise physiology.

Generative Artificial Intelligence (GenAI) is transforming various sectors, including healthcare, offering both promising opportunities and notable risks. The infancy and rapid development of GenAI raises questions regarding its effective, safe, and ethical use by health professionals, including clinical exercise physiologists. This narrative review aims to explore existing interdisciplinary liter...

CDKN1A and EGR1 are key genes for endoplasmic reticulum stress-induced ferroptosis in MASH.

Metabolic dysfunction-associated steatohepatitis (MASH) is a complex liver disease whose pathogenesis involving endoplasmic reticulum (ER) stress and ferroptosis. However, key regulatory genes remain poorly understood, hindering the development of effective therapeutic targets. This study aims to identify genes linked to ER stress and ferroptosis through bioinformatics and experimental validation,...

From Pixels to Patterns: Trait Plasticity and Species Overlap of spp. in Arctic Fjords.

The marine ecosystems of the Svalbard archipelago are now propelled towards a new climatic state owing to the ongoing "Atlantification" process. Fjord...

Association between pro-inflammatory diet and fecal incontinence: a large population-based study.

BACKGROUND: It is widely acknowledged that dietary habits play a pivotal role in maintaining optimal intestinal health. Fecal incontinence (FI) is a d...

Meta-analysis of shotgun sequencing of gut microbiota in obese children with MASLD or MASH.

Alterations in the gut microbiome affect the development and severity of metabolic dysfunction-associated steatotic liver disease (MASLD) or metabolic...

A web-based tool for predicting gastric ulcers in Chinese elderly adults based on machine learning algorithms and noninvasive predictors: A national cross-sectional and cohort study.

BACKGROUND: As the Chinese population continues to age, the prevalence of gastric ulcers, a common nutrition and diet-related disorder, is rising amon...

Self-determination theory informed research for promoting physical activity: Contributions, debates, and future directions.

In this review we evaluate the applications of self-determination theory (SDT) research to promote motivation for physical activity (PA) and exercise....

Assessing perioperative risks in a mixed elderly surgical population using machine learning: A multi-objective symbolic regression approach to cardiorespiratory fitness derived from cardiopulmonary exercise testing.

Accurate preoperative risk assessment is of great value to both patients and clinical teams. Several risk scores have been developed but are often not...

Potential Modulatory Roles of Gut Microbiota and Metabolites in the Associations of Macronutrient-to-Physical Activity Ratios With Dyslipidemia.

BACKGROUND: Lifestyle factors toward diet and physical activity (PA) may directly influence the pathophysiology of dyslipidemia. However, the associat...

Jumping on the moon as a potential exercise countermeasure.

The Moon's gravitational field strength (17% Earth's gravity) may facilitate the use of bodyweight jumping as an exercise countermeasure against muscu...

Heat to hypoxia cross-adaptation: Effects of 6-week post-exercise hot-water immersion on exercise performance in acute hypoxia.

Cross-adaptation occurs when exposure to one environmental stressor (e.g., heat) induces protective responses to another (e.g., hypoxia). Although pos...

Combined effects of normobaric hypoxia and cold on respiratory system responses to high-intensity exercise.

Cold temperatures (<-15°C) increase exercise-induced bronchoconstriction (EIB), while hypoxic-induced hyperventilation exacerbates respiratory muscle ...

Hypoferremic Response to Chronic Inflammation Is Controlled via the Hemojuvelin/Hepcidin/Ferroportin Axis and Does Not Involve Hepcidin-Independent Regulation of Fpn mRNA.

The iron regulatory hormone hepcidin contributes to the pathogenesis of anemia of inflammation (AI) by inhibiting the iron exporter ferroportin in tar...

Learning a deep language model for microbiomes: The power of large scale unlabeled microbiome data.

We use open source human gut microbiome data to learn a microbial "language" model by adapting techniques from Natural Language Processing (NLP). Our ...

Development and evaluation of the COntextualised and Personalised Physical activity and Exercise Recommendations (COPPER) Ontology.

BACKGROUND: Personalised recommendations for action and coping plans for physical activity (PA) may reduce user burden and increase plan quality. Onto...

Probiotic Effects of and on the Growth, Health, and Microbiota of Red Tilapia ( sp.).

This study evaluated the effects of a commercial probiotic containing and on the growth performance, intestinal histological structure, body composi...

Hybrid Neural network and machine learning models with improved optimization method for gut microbiome effects on the sleep quality in patients with endometriosis.

BACKGROUND AND OBJECTIVE: Endometriosis is a chronic gynecological condition known to affect the quality of life of millions of women globally, often ...

Preoperative submaximal cardiopulmonary exercise testing and its association with early postoperative complications.

BACKGROUND: Early postoperative complication risk prediction would enhance perioperative surveillance and resource allocation. Reports have described ...

Microfinance institutions failure prediction in emerging countries, a machine learning approach.

This study is about what matters: predicting when microfinance institutions might fail, especially in places where financial stability is closely link...

Improved food image recognition by leveraging deep learning and data-driven methods with an application to Central Asian Food Scene.

The burden of diet-related diseases is high in Central Asia. In recent years, the field of food computing has gained prominence due to advancements in...