Obesity

A Machine-Learning Assisted Genetic Risk Score Identifies Improved Weight Loss After Endoscopic Sleeve Gastroplasty.

BACKGROUND AND AIMS: Obesity remains an epidemic associated with significant health consequences. Endoscopic sleeve gastroplasty (ESG) can lead to significant and sustained weight loss, with heterogeneous response. We previously reported a machine-learning (ML) assisted genetic risk score (GRS) for calories to satiation that predicts response to anti-obesity medications. Here, we evaluated the per...

Integrative transcriptomic and machine learning approach reveals key DDR genes and predictors of ami risk in the Bangladeshi population.

Acute Myocardial Infarction (AMI) is a significant contributor to cardiovascular death, with rising prevalence in Bangladesh. Although DNA damage contributes to AMI pathogenesis, the role of DNA damage repair (DDR) genes remains poorly characterized. This study aims to identify key DDR genes associated with AMI, and develop a machine learning-based risk prediction model for the Bangladeshi populat...

Comparison of automated robotic arm-assisted PET/computed tomography-guided metabolic bone marrow biopsy with conventional bone marrow trephine biopsy for evaluating bone marrow infiltration in newly diagnosed lymphoma.

OBJECTIVES: Bone marrow involvement (BMI) upstages lymphoma and influences prognosis and treatment. Conventional bone marrow trephine biopsy (BMTB) ma...

Prevalence and determinants of sacroiliac joint bone marrow oedema in the general population in Germany: a population-based cross-sectional study.

BACKGROUND: MRI-detected bone marrow oedema in sacroiliac joints is central to diagnosing axial spondyloarthritis, influencing treatment decisions inc...

Association between the endothelial activation and stress index and 28-day all-cause mortality in critically ill patients with chronic obstructive pulmonary disease: a retrospective cohort study and predictive model establishment based on machine learning.

BACKGROUND: Chronic obstructive pulmonary disease (COPD) remains a major global health burden and is currently the third leading cause of death worldw...

From Fitness to Cognition: Machine-Learning Prediction of Cognitive Performance Using Physiological Parameters in Healthy Adults.

INTRODUCTION: Current cognitive tasks are not suitable for frequent monitoring of cognitive function in healthy adults. Increasing evidence suggests t...

Machine learning in bleeding risk assessment for low-molecular-weight heparin or fondaparinux: a predictive model study.

BACKGROUD:  No universally accepted model exists for predicting bleeding risk in patients receiving low-molecular-weight heparin or fondaparinux. OBJE...

Artificial intelligence denoising in cardiac photon-counting CT: mitigating BMI-related noise degradation while maintaining clinical interchangeability.

OBJECTIVES: To evaluate whether an artificial intelligence-based denoising (AID) algorithm can effectively attenuate body mass index (BMI)-related noi...

Use of Machine-Learning Models to Identify Clinical Features Associated With A Future Clinical Worsening Event in Patients With Pulmonary Arterial Hypertension.

Clinical worsening events are increasingly recognized as a meaningful outcome in pulmonary arterial hypertension (PAH). We applied machine-learning mo...

Publisher Correction: Machine Learning Models for Predicting Significant Liver Fibrosis in Patients with Severe Obesity and Nonalcoholic Fatty Liver Disease.

Machine learning-based prediction of ventilator therapeutic pressure for optimized CPAP titration.

BACKGROUND: Accurate prediction of therapeutic pressure for Continuous Positive Airway Pressure (CPAP) therapy is essential for effective treatment of...

Development and validation of a risk stratification model for sarcopenia in patients with chronic lung disease: a cross-sectional study based on CHARLS data.

OBJECTIVE: The aim of this study was to develop a machine learning-based stratification model to identify high-risk individuals for sarcopenia among p...

Understanding LUng Cancer risk factors and their Impact Assessment (LUCIA): protocol for multicentre observational cohort study.

INTRODUCTION: Lung cancer (LC) is the leading cause of cancer-related mortality worldwide, primarily due to diagnosis at advanced stages. Although low...

AI-driven integration of genomic and exposome data for cancer risk: the combined risk score (CRS).

Polygenic risk scores (PRS) have emerged as important tools for quantifying inherited susceptibility to cancer, and are increasingly combined with env...

Co-morbid biomarkers for sarcopenic obesity associated with gut microbiota metabolites: From burden to treatment.

BACKGROUND: The detrimental cycle of sarcopenic obesity (SO) significantly reduces quality of life in older adults, while the mechanisms are still unc...

Deep Learning-Based Comparison of Knee Minimum Joint Space Width in Patients with Rheumatoid Arthritis and Osteoarthritis Before Total Knee Arthroplasty.

OBJECTIVE: While osteoarthritis (OA) and rheumatoid arthritis (RA) can necessitate total knee arthroplasty (TKA), the mechanisms and radiographic patt...

Vision Transformer-Based Segmentation of Abdominal Subcutaneous and Visceral Fat on MRI.

The purpose of this study is to validate a deep learning-based vision transformer for automated quantification and segmentation of abdominal adipose t...

Human-Large Language Model collaboration for systematic ontology updates: a case study in the domain of dietary lifestyle.

OBJECTIVES: To develop and evaluate a human-LLM (Large Language Model) collaborative approach for systematic ontology updating, demonstrated with the ...

Prehospital Risk Stratification Using Unsupervised Machine Learning in STEMI.

BACKGROUND: ST-elevation myocardial infarction (STEMI) exhibits substantial clinical heterogeneity complicating prehospital risk stratification. Tradi...

Development and Internal Validation of a Machine Learning Model for Predicting Long-Term Opioid Therapy After Hip Fracture Surgery in Older, Opioid-Naïve Adults.

BACKGROUND: Long-term opioid therapy (LTOT) after hip fracture surgery is a common postoperative complication associated with adverse outcomes, yet to...