Exercise & Fitness

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...

Propofol-associated Hypertriglyceridemia: Development and Multicenter Validation of a Machine-Learning-Based Prediction Tool.

To develop and validate an explainable machine learning (ML) tool to help clinicians predict the ris...

Impact of body mass index on D-dimer diagnostic utility for deep vein thrombosis in patients with cancer: a single-center retrospective analysis.

BACKGROUND: Deep vein thrombosis (DVT) is a common complication in cancer patients associated with s...

Multiple Mutations in the β1 Subunit of the Nicotinic Acetylcholine Receptor Confer Resistance to Neonicotinoids.

The evolution of resistance to neonicotinoid insecticides threatens global agriculture. To elucidate...

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-induce...

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 ...

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 j...

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 re...

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 outcome...

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...

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 cytot...

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 ...

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 a...

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...

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 mechanism...

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 qua...

Artificial Intelligence to Evaluate Aortic Insufficiency: An Exercise in Machine Learning.

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

BACKGROUND: Early postoperative complication risk prediction would enhance perioperative surveillanc...

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 ...

Model-driven high-throughput zebrafish embryo assay for evaluating whole effluent toxicity variation across 100 full-scale wastewater treatment plants.

The zebrafish embryo is a valuable model for evaluating whole effluent toxicity (WET). However, the ...

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-bein...