Primary Care

Obesity

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

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Neurobehavioral mechanisms of fear and anxiety in multiple sclerosis.

BACKGROUND: Anxiety is a common yet often underdiagnosed and undertreated comorbidity in multiple sc...

Application of causal forest double machine learning (DML) approach to assess tuberculosis preventive therapy's impact on ART adherence.

Adherence to antiretroviral therapy (ART) is critical for HIV treatment success, yet the impact of t...

Application of Explainable Artificial Intelligence for personalized childhood weight management using IoT data.

Childhood obesity is a growing global health concern as it is correlated with an increased risk of a...

Machine Learning-Based Analysis of Lifestyle Risk Factors for Atherosclerotic Cardiovascular Disease: Retrospective Case-Control Study.

BACKGROUND: The risk of developing atherosclerotic cardiovascular disease (ASCVD) varies among indiv...

Alzheimer's disease risk prediction using machine learning for survival analysis with a comorbidity-based approach.

Alzheimer's disease (AD) presents a pressing global health challenge, demanding improved strategies ...

Perspectives, challenges and future of artificial intelligence in personalised nutrition research.

Personalised nutrition (PN) has emerged as an approach to optimise individual health outcomes throug...

METS-VF as a novel predictor of gallstones in U.S. adults: a cross-sectional analysis (NHANES 2017-2020).

BACKGROUND AND AIMS: Obesity is a well-established risk factor for gallstone formation, but traditio...

Predicting stunting status among under five children in ethiopia using ensemblemachine learning algorithms.

Childhood stunting is a persistent public health challenge in Ethiopia, significantly impacting chil...

"Digital Clinicians" Performing Obesity Medication Self-Injection Education: Feasibility Randomized Controlled Trial.

BACKGROUND: Artificial intelligence (AI) chatbots have shown competency in a range of areas, includi...

Advancements in lung cancer: molecular insights, innovative therapies, and future prospects.

Still among the most common and deadly cancers worldwide, lung cancer causes major morbidity and dea...

Differential effects of demographics and risk factors on the nonlinear orthotropic mechanical properties of human femoropopliteal arteries.

Understanding how demographics and risk factors differentially affect the nonlinear orthotropic mech...

AI-driven preclinical disease risk assessment using imaging in UK biobank.

Identifying disease risk and detecting disease before clinical symptoms appear are essential for ear...

Proactive recognition and early detection in communities through targeted HIV screening.

Human Immunodeficiency Virus (HIV) remains a critical public health concern, and is a significant gl...

Familial Differences in Personal PM Exposure within a Rural African Community Explained with Spatiotemporal Exposure Apportionment.

Exposure to fine particulate matter (PM) from solid-fuel combustion is a major determinant of global...

Hijacked Brain in Modern Obesity: Cue, Habit, Addiction, Emotion, and Restraint as Targets for Personalized Digital Therapy and Electroceuticals.

The global obesity epidemic can no longer be explained by personal choice or caloric excess alone. M...

A machine learning-based approach to predict depression in Chinese older adults with subjective cognitive decline: a longitudinal study.

This study aims to identify depressive risks in elderly individuals with subjective cognitive declin...

Predicting mortality risk in Alzheimer's disease using machine learning based on lifestyle and physical activity.

Alzheimer's disease (AD), a progressive neurodegenerative disorder, significantly impacts patient su...

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