Exercise & Fitness

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 post-exercise hot-water immersion (HWI) induces heat acclimation, its potential to elicit cross-adaptation remains unclear. This study evaluated the effectiveness of a 6-week post-exercise HWI intervention on exercise performance in hypoxia (O= 13%). Tw...

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 fatigue for a given exercising task. This study aimed to determine the individual and combined effects of cold and normobaric hypoxia on the respiratory system responses to high-intensity exercise. Fourteen trained male runners ( : 64 ± 5 mL/kg/min)...

Association of Physical Activity from Wearable Devices and Chronic Disease Risk: Insights from the All of Us Research Program.

Physical activity is a modifiable factor influencing chronic disease risk. Previous studies often relied on self-reported activity measures or short-t...

Enhancing Obstetric Decision-Making With AI: A Systematic Review of AI Models for Predicting Mode of Delivery.

Accurate prediction of the mode of delivery is critical for optimizing maternal and neonatal outcomes and reducing unnecessary cesarean sections. In r...

An integrated review on the role of different biocatalysts, process parameters, bioreactor technologies and data-driven predictive models for upgrading biogas.

As energy consumption and waste generation from human activities continue to rise, the technology of anaerobic digestion (AD), which converts waste in...

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...

Artificial intelligence-based muscle analysis risk assessment of treatment-related toxicity in metastatic colorectal cancer.

IntroductionUp to 60% of adults with metastatic colorectal cancer (mCRC) receiving combination cytotoxic chemotherapy may experience loss of skeletal ...

Human-generative AI collaboration enhances task performance but undermines human's intrinsic motivation.

In a series of four online experimental studies (total N = 3,562), we investigated the performance augmentation effect and psychological deprivation e...

Retinal Ischemic Perivascular Lesions (RIPLs) as Potential Biomarkers for Systemic Vascular Diseases: A Narrative Review of the Literature.

Retinal ischemic perivascular lesions (RIPLs) are characteristic focal thinning of the inner nuclear layer, with an upward expansion of the outer nucl...

A novel diagnosis method utilizing MDBO-SVM and imaging genetics for Alzheimer's disease.

Alzheimer's disease (AD) is the most common neurodegenerative disorder, yet its underlying mechanisms remain elusive. Early and accurate diagnosis is ...

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 ...

Constructing machine learning-based risk prediction model for osteoarthritis in population aged 45 and above: NHANES 2011-2018.

Osteoarthritis is a widespread chronic joint disease, becoming increasingly prevalent, particularly among individuals over the age of 45. This conditi...

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...

Artificial intelligence models utilize lifestyle factors to predict dry eye related outcomes.

The purpose of this study is to examine and interpret machine learning models that predict dry eye (DE)-related clinical signs, subjective symptoms, a...

From social effort to social behavior: An integrated neural model for social motivation.

As humans rely on social groups for survival, social motivation is central to behavior and well-being. Here we define social motivation as the effort ...

Assessing the association of multi-environmental chemical exposures on metabolic syndrome: A machine learning approach.

Metabolic syndrome (MetS) is a major global public health concern due to its rising prevalence and association with increased risks of cardiovascular ...

Antibiogram use on dairy cattle for bovine respiratory disease: Factors associated with bacterial pathogen identification and prediction of bacterial recovery using machine learning.

Effective isolation of bacterial pathogens for bovine respiratory disease (BRD) is a critical step for accurate diagnosis of the agent associated with...

Prediction of Adeno-Associated Virus Fitness with a Protein Language-Based Machine Learning Model.

Adeno-associated virus (AAV)-based therapeutics have the potential to transform the lives of patients by delivering one-time treatments for a variety ...

Physiological and morphological impact of physical activity and nutritional interventions to offset disuse-induced skeletal muscle atrophy.

Skeletal muscle tissue acts as a functional unit for physical movements, energy metabolism, thermogenesis, and metabolic homeostasis. In this literatu...