Primary Care

Obesity

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

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Showing 22-42 of 1,198 articles
Exploring the comorbidity mechanisms of ITGB2 in rheumatoid arthritis and membranous nephropathy through integrated bioinformatics analysis.

BACKGROUND: Patients with rheumatoid arthritis (RA) are more likely to comorbid renal diseases, with...

MDNCT: a multi-domain neurocognitive transformer architecture approach for early prediction of autism spectrum disorders.

Intellectual disability (ID) refers to a disorder involving intelligence and adaptive behavior that ...

Robotics Use in the Care and Management of People Living With Diabetes Mellitus: A Scoping Review.

BACKGROUND: Diabetes prevalence is rising and projected to affect 783 million globally by 2045. Effe...

Misrepresentation of semaglutide in social media.

In recent years, semaglutide has repeatedly attracted attention in the press and on social media due...

Predicting postprandial glucose excursions to personalize dietary interventions for type-2 diabetes management.

Elevated postprandial glucose levels present a global epidemic and a major challenge in type-2 diabe...

Shared pathogenic mechanisms linking obesity and idiopathic pulmonary fibrosis revealed by bioinformatics and in vivo validation.

Previous studies have suggested a potential correlation between obesity and idiopathic pulmonary fib...

Extensive novel diversity and phenotypic associations in the dromedary camel microbiome are revealed through deep metagenomics and machine learning.

The dromedary camel, also known as one-humped camel or Arabian camel, is iconic and economically imp...

Image quality and radiation dose of reduced-dose abdominopelvic computed tomography (CT) with silver filter and deep learning reconstruction.

To assess the image quality and radiation dose between reduced-dose CT with deep learning reconstruc...

An interpretable machine learning model for predicting bone marrow invasion in patients with lymphoma via F-FDG PET/CT: a multicenter study.

PURPOSE: Accurate identification of bone marrow invasion (BMI) is critical for determining the progn...

Deep phenotyping of health-disease continuum in the Human Phenotype Project.

The Human Phenotype Project (HPP) is a large-scale deep-phenotype prospective cohort. To date, appro...

APOE ε4 carriers share immune-related proteomic changes across neurodegenerative diseases.

The APOE ε4 genetic variant is the strongest genetic risk factor for late-onset Alzheimer's disease ...

A Novel Machine Learning Model for Predicting Natural Conception Using Non-Laboratory-Based Data.

This study aimed to predict the likelihood of natural conception among couples by using a machine le...

Associations of Computerized Tomography-Based Body Composition and Food Insecurity in Bariatric Surgery Patients.

INTRODUCTION: Food insecurity (FI) is associated with increased adiposity and obesity-related medica...

Prediabetes phenotypes: can aetiology and risk profile guide lifestyle strategies for diabetes prevention?

INTRODUCTION: Type 2 diabetes (T2D) continues to worsen globally alongside rise in obesity. Asymptom...

Enhancing Parkinson's disease prediction using meta-heuristic optimized machine learning models.

Parkinson's disease is a progressive neurological disorder affecting movement and cognition. Early d...

Evaluating the Accuracy and Readability of ChatGPT in Addressing Patient Queries on Adult Spinal Deformity Surgery.

Study DesignCross-Sectional.ObjectivesAdult spinal deformity (ASD) affects 68% of the elderly, with ...

Predicting time-to-first cancer diagnosis across multiple cancer types.

Cancer causes over 10 million deaths annually worldwide, with 40.5% of Americans expected to be diag...

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