Exercise & Fitness

The IGF1-PGM5 Axis Inhibits Aerobic Glycolysis and Serves As a Tumor Suppressor in Nasopharyngeal Carcinoma.

Nasopharyngeal carcinoma (NPC) is a prevalent malignancy with a distinct geographical distribution. This study aimed to identify core glycolysis-related genes and investigate their functional roles in NPC pathogenesis. Integrated transcriptomic analysis was performed on multiple Gene Expression Omnibus datasets. Screening of core genes was performed computationally via machine learning algorithms ...

Time-dependent predictive contribution of the triglyceride-glucose index for incident cardiovascular disease in a 9-year Chinese cohort.

This study aims to investigate the association between triglyceride-glucose (TyG) index and risk of CVD using explainable survival analysis method based on 2011 to 2020 China Health and Retirement Longitudinal Study (CHARLS) data. We enrolled 7,721 participants in a prospective cohort. A Lasso Cox model was implemented to select covariates for constructing the multivariate Cox regression model. Re...

Motivational and psychological variables related to unethical uses of artificial intelligence across multiple life domains (academics and online interactions).

Past studies about unethical uses of generative artificial intelligence (AI) have focused within a specific life domain (e.g., how AI is used for chea...

Comparative machine learning approaches to prognosticate clinical outcomes in oral and maxillofacial space infections: a retrospective analysis.

BACKGROUND: The objective of this study was to evaluate the performance of multiple machine learning algorithms to provide evidence supporting early i...

Precision Exercise for Breast Cancer-Related Outcomes: Towards Personalised Training Based on Tumour, Treatment and Patient Characteristics.

Exercise is a promising strategy associated with improved cancer-related outcomes through multiple biological mechanisms. However, current exercise gu...

Prognostic models for diabetic kidney disease outcomes: A systematic review.

OBJECTIVE: This systematic review aimed to systematically evaluate the methodological quality and predictive performance of existing prognostic models...

Structured AI-Supported Assessment (SAISA): A Novel Design Integrating ChatGPT to Support Clinical Reasoning and Reflective Engagement in Veterinary Students.

The rapid emergence of generative artificial intelligence (AI) tools such as ChatGPT is reshaping higher education and challenging traditional approac...

Effects of Telerehabilitation Based on Motion Recognition Technology on Exercise Endurance of Patients With Non-Small Cell Lung Cancer After Surgery: Single-Center, Prospective, Open-Label, Randomized Controlled Trial.

BACKGROUND: Non-small cell lung cancer (NSCLC) accounts for approximately 85% of primary pulmonary neoplasms. Complete surgical removal remains the co...

Classification of functional movement screening scores and reported fall-incident history from deep squat videos among logistics service workers using deep learning.

Logistics service workers (LSWs) face a high risk of fall-related injuries owing to the physically demanding nature of their work. This study aimed to...

Temporal deep learning for 28-day mortality prediction in critically ill ovarian cancer patients: a multicenter development and validation study using hourly vital signs.

BACKGROUND: Ovarian cancer patients requiring intensive care unit (ICU) admission face particularly grave prognosis, yet current prognostic models rel...

Echocardiographic assessment in arterial hypertension: a contemporary narrative review.

Arterial hypertension remains the leading modifiable cause of cardiovascular morbidity and mortality resulting in characteristic changes in cardiac st...

A machine learning-based analysis of chronotype and sleep quality as predictors of mental distress in university students.

This cross-sectional study aimed to investigate the combined effects of chronotype, Mediterranean diet adherence, and sleep quality on mental distress...

Predicting migratory survival in a songbird hybrid zone using machine learning.

Extrinsic postzygotic isolation-selection against hybrids between populations that have undergone divergent ecological adaptation-is hypothesized to p...

Myokines in exercise‑mediated bone homeostasis: Molecular signaling mechanisms and therapeutic implications for bone disorders (Review).

Skeletal muscle functions as an endocrine organ, secreting myokines that mediate interorgan communication with bone. Exercise‑induced myokines regulat...

Enhancing the severity classification of tomato plant epidemic pathogens using adaptive segmentation of mask RCNN and multiscale recurrent MobileNet.

Tomatoes are the most significant and widely consumed crops globally. Leaf diseases cause an important threat to crop production and quality. Further,...

Using machine learning to identify individuals at elevated risk of diabetes from low-cost complete blood count data for opportunistic screening.

Type 2 diabetes and prediabetes remain substantially underrecognized, highlighting the need for practical screening approaches based on routinely avai...

Interpretable machine learning reveals the synergistic impact of essential hypertension on early recurrence in triple-negative breast cancer.

Triple-negative breast cancer (TNBC) patients often ential hypertension, yet how systemic vascular stress synergizes with tumor aggressiveness to driv...

[The research progress and outlook on the effects of different exercise modalities on working memory function in middle-aged and elderly individuals].

This review provides a comprehensive analysis of the effects of different exercise modalities on working memory function in middle-aged and older adul...

From Assistance to Dependence: The Cognitive Cost of Artificial Intelligence in Education.

BACKGROUND: The integration of Artificial Intelligence (AI) in education is reshaping how students interact with academic content, offering personaliz...

Methods for Measuring Neural Activity During Voluntary Wheel Running.

BACKGROUND: Rodent wheel running provides a translational model to study the neurobiology of physical activity, including motivation, affect, and plas...