Primary Care

Obesity

Latest AI and machine learning research in obesity for healthcare professionals.

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Showing 64-84 of 1,198 articles
Therapeutic horizons in metabolic dysfunction-associated steatohepatitis.

Metabolic dysfunction-associated steatohepatitis (MASH), the progressive inflammatory form of MASLD,...

Investigating the benefits of artificial neural networks over linear approaches to BMI decoding.

Brain-machine interfaces (BMI) aim to restore function to persons living with spinal cord injuries b...

Alterations in the functional MRI-based temporal brain organisation in individuals with obesity.

AIMS: Obesity is associated with functional alterations in the brain. Although spatial organisation ...

A Machine Learning Analysis of Physiological Monitoring Signals to Detect Small Airway Narrowing Due to Cold Air Exposure in Asthma.

Asthma is a chronic inflammatory disease of the small airways, affecting over 200 million people glo...

Big data and cardiovascular risk-insights into obesity, diabetes, and coronary heart disease.

BACKGROUND: Cardiovascular diseases (CVD) remain a major global health burden. Obesity and type 2 di...

Lipidomic profiling of human adiposomes identifies specific lipid shifts linked to obesity and cardiometabolic risk.

BACKGROUNDObesity, a growing health concern, often leads to metabolic disturbances, systemic inflamm...

Obesity Biomarkers: Exploring Factors, Ramification, Machine Learning, and AI-Unveiling Insights in Health Research.

Biomarkers play a pivotal role in the detection and management of diseases, including obesity-a grow...

Disease entity impacts muscle wasting in the ICU with COVID-19 patients losing muscle nearly twice as fast.

Muscle loss in critically ill patients, particularly during prolonged ICU stays, poses significant c...

Developing and comparing a new BMI inclusive energy expenditure algorithm on wrist-worn wearables.

Estimating energy expenditure (EE) in real-world settings is crucial for studying human behavior and...

Development of Machine Learning-Based Risk Prediction Models to Predict Rapid Weight Gain in Infants: Analysis of Seven Cohorts.

BACKGROUND: Rapid weight gain (RWG) during infancy, defined as an upward crossing of one centile lin...

Type 2 Diabetes Mellitus Remission, Dream or Reality? A Narrative Review of Current Evidence and Integrated Care Strategies.

Type 2 diabetes mellitus (T2DM) is a global health priority, with an estimated 629 million people pr...

Availability and Use of Digital Technology Among Women With Polycystic Ovary Syndrome: Scoping Review.

BACKGROUND: Polycystic ovary syndrome (PCOS) is a common endocrinopathy among women that requires se...

Atrial Fibrillation Recurrence After Catheter Ablation: The Puzzle We Have and the Pieces We Need.

Atrial fibrillation (Afib) recurrence following catheter ablation (CA) remains a significant challen...

A Mortality Risk Prediction Model for Septic Shock in Patients Aged ≥50: Role of Norepinephrine Index and Procalcitonin.

BACKGROUND: Septic shock is a high-mortality syndrome, particularly in patients aged 50 and older. P...

Insight into microbial extracellular vesicles as key communication materials and their clinical implications for lung cancer (Review).

The complexity of lung cancer, driven by multifactorial causes such as genetic, environmental and li...

Evaluating the relationship between environmental chemicals and obesity: Evidence from a machine learning perspective.

Environmental chemicals are increasingly recognized as important contributors to obesity, yet the nu...

Machine learning-based prediction of respiratory depression during sedation for liposuction.

Procedural sedation is often performed by non-anesthesiologists in various settings and can lead to ...

Out-of-distribution reject option method for dataset shift problem in early disease onset prediction.

Machine learning is increasingly used to predict lifestyle-related disease onset using health and me...

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