Obesity

The Role of Artificial Intelligence in Chronic Liver Diseases and Liver Transplantation.

In hepatology, pattern recognition in laboratory data and clinical characteristics is the hallmark of clinical care. Artificial intelligence (AI) tools, like machine or deep learning and large language models, provide interesting mechanisms for facilitating care advancement. The complexity and diversity of data, as well as genetic, environmental, and lifestyle factors, all contribute to individual...

Meta-analysis of shotgun sequencing of gut microbiota in obese children with MASLD or MASH.

Alterations in the gut microbiome affect the development and severity of metabolic dysfunction-associated steatotic liver disease (MASLD) or metabolic dysfunction-associated steatohepatitis (MASH). We analyzed microbiomes of obese children with and without MASLD, MASH, and healthy controls. Electronic databases were searched for studies on the gut microbiome in children with obesity with/without M...

Discovery of novel potential 11β-HSD1 inhibitors through combining deep learning, molecular modeling, and bio-evaluation.

11β-Hydroxysteroid dehydrogenase type 1 (11β-HSD1) has been shown to play an important role in the treatment of impaired glucose tolerance, insulin re...

Customer adoption of artificial intelligence in healthcare: An empirical investigation based on multiple samples.

Healthcare workers are facing unprecedented work pressure due to the workload owing to the increase in lifestyle diseases. Artificial Intelligence (AI...

Oxidative balance score and menopausal status: insights from epidemiological analysis and machine learning models.

BACKGROUND: Unhealthy lifestyle habits, such as smoking, can impact oxidative stress. During oxidative stress, unnaturalized free radicals can damage ...

Sex-Based Differences in Prenatal and Perinatal Predictors of Autism Spectrum Disorder Using Machine Learning With National Health Data.

Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder influenced by genetic, epigenetic, and environmental factors. ASD is character...

Age and sex-specific differences of the intrafemoral and intratibial morphology using the Citak classification in patients undergoing total knee arthroplasty.

PURPOSE: Unlike established knee phenotype classifications, the recently introduced Citak classifications describe the intrafemoral and intratibial kn...

The Forcing Factors of Physical Inactivity and Obesity in the United States - An Artificial Intelligence Analysis of an Ecological Framework.

BACKGROUND: A sedentary lifestyle, and obesity, are primary factors forcing the ongoing chronic disease health crisis in the United States. The aim of...

Machine Learning for Predicting the Transition From Gestational Diabetes to Type 2 Diabetes: A Systematic Review.

Gestational diabetes mellitus (GDM) significantly increases the risk of developing type 2 diabetes (T2D) postpartum. Early identification of high-risk...

Impact of sarcopenia and obesity on mortality in older adults with SARS-CoV-2 infection: automated deep learning body composition analysis in the NAPKON-SUEP cohort.

INTRODUCTION: Severe respiratory infections pose a major challenge in clinical practice, especially in older adults. Body composition analysis could p...

Unsupervised Clustering of Patients Undergoing Thoracoscopic Ablation Identifies Relevant Phenotypes for Advanced Atrial Fibrillation.

: The rate of recurrence after ablation for atrial fibrillation (AF) is considerable. Risk stratification for AF recurrence after ablation remains inc...

Developing cardiac digital twin populations powered by machine learning provides electrophysiological insights in conduction and repolarization.

Large-cohort imaging and diagnostic studies often assess cardiac function but overlook underlying biological mechanisms. Cardiac digital twins (CDTs) ...

Potential Modulatory Roles of Gut Microbiota and Metabolites in the Associations of Macronutrient-to-Physical Activity Ratios With Dyslipidemia.

BACKGROUND: Lifestyle factors toward diet and physical activity (PA) may directly influence the pathophysiology of dyslipidemia. However, the associat...

Exploring potential diagnostic markers and therapeutic targets for type 2 diabetes mellitus with major depressive disorder through bioinformatics and in vivo experiments.

Type 2 diabetes mellitus (T2DM) and Major depressive disorder (MDD) act as risk factors for each other, and the comorbidity of both significantly incr...

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 risk of propofol-associated hypertriglyceridemia in c...

Bridging the gap in obesity research: A consensus statement from the European Society for Clinical Investigation.

BACKGROUND: Most forms of obesity are associated with chronic diseases that remain a global public health challenge.

Selected comorbidities and the probability of ART switch in PWH with undetectable HIV-RNA: a retrospective analysis in Italy.

OBJECTIVES: To estimate the incidence of comorbidities in persons with HIV (PWH) with a stable viral load (VL) of ≤50 copies/mL and evaluate the likel...

Automated generation of discharge summaries: leveraging large language models with clinical data.

This study explores the use of open-source large language models (LLMs) to automate generation of German discharge summaries from structured clinical ...

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 significant morbidity and mortality. D-dimer is a w...

Variations of the chemical components and biological activities of Thymus capitatus essential oil from three regions in Palestine.

Thymus capitatus is a widely utilized medicinal plant in Palestine. The main goal of this study was to assess the phytochemical content of T. capitatu...