GERD

Identification of FOXK1 and SEMA7A as key genes associated with m6A-related programmed cell death in diabetic retinopathy.

BACKGROUND: Diabetic retinopathy (DR), a serious microvascular complication of diabetes, has a complex pathogenic mechanism that is intricately linked to programmed cell death (PCD) and also to N6-methyladenosine (m6A) modification. The objective of this research was to pinpoint crucial genes related to m6A-related PCD in DR using transcriptomic data, offering novel targets and a theoretical basis...

Bioinformatics analysis reveals the association of bile acid metabolism-related genes with sepsis.

BACKGROUND: Sepsis, is a life-threatening syndrome triggered by infection. Bile acid metabolism may be involved in the pathogenesis of sepsis, the underlying association has not yet been elucidated. Thus, we aimed to screen for bile acid metabolism-related biomarkers of sepsis and discover the potential association. METHODS: Sepsis-related datasets were downloaded from the Gene Expression Omnibus ...

Evaluation of Large Language Models in the Clinical Management of Patients With Upper Gastrointestinal Bleeding: Insights From Real-World Patient Data.

OBJECTIVE: To evaluate large language models (LLMs) for pre-endoscopy (PE) risk stratification and prediction of endoscopic findings in upper gastroin...

Bioinformatics analysis reveals the characteristics of immune microenvironment in major depressive disorder and vitiligo.

BACKGROUND: Major depressive disorder (MDD) and vitiligo often occur together, worsening patient outcomes. However, the shared pathogenic mechanisms r...

Quantitative Cerebrovascular Analysis for Improved Prediction of Post-Stroke Complications.

Endovascular thrombectomy (EVT) has transformed the treatment of acute ischemic stroke (AIS). However, a substantial proportion of AIS patients experi...

Mitochondrial dysfunction in peri-implantitis: bioinformatics and machine learning analysis with in vivo experiment.

This study aimed to identify mitochondria-related hub genes in peri-implantitis and to detect their expression in a Sprague-Dawley (SD) rat model. Hum...

ALDH18A1 silencing inhibits lung adenocarcinoma progression through mitochondrial dysfunction and PPAR signaling pathway activation.

BACKGROUND: Lung adenocarcinoma (LUAD) remains a prevalent malignant tumor characterized by a dismal prognosis. This study aimed to reveal potential m...

Discovery of hub genes linking oxidative stress to type 2 diabetic sarcopenia using single-cell sequencing and machine learning.

Type 2 diabetes mellitus (T2DM) and sarcopenia demonstrate a significant comorbidity, particularly in the elderly, yet the molecular mechanisms linkin...

A hybrid machine learning framework with two-step feature selection for identifying key biomarkers and drug targets in monkeypox.

Monkeypox (Mpox) is a viral disease that has garnered global attention due to its human-to-human transmissibility and cross-species transmission. Rece...

The Technological Advances in Artificial Intelligence-assisted Diagnosis of Dysphagia: A Mini Review.

BACKGROUND: Dysphagia is a common complaint that afflicts the elderly and individuals with neurological disorders. Conventional diagnostic techniques,...

Harnessing Large-Scale Multi-Omics Data for Risk Prediction and Deep Phenotyping of Valvular Heart Diseases in the General Population.

The risk profile of valvular heart disease (VHD) and its underlying mechanisms remain poorly understood. This study aimed to develop and validate a mu...

Factors associated with delayed diagnosis of fibrotic interstitial lung disease: a retrospective cohort study.

BACKGROUND: Timely diagnosis and treatment of fibrotic interstitial lung disease (ILD) is crucial to preserve lung function and limit healthcare costs...

Identification and validation of novel diagnostic biomarkers across multiple tissues in osteoarthritis.

BACKGROUND: Osteoarthritis (OA) is a degenerative joint disease characterized by synovial inflammation, cartilage degradation, and subchondral bone re...

Technical and clinical feasibility of single-use gastroscopy with real-time AI-based quality monitoring and single-use colonoscopy: a prospective two-center study.

BACKGROUND: Single-use gastrointestinal endoscopes eliminate the need for post-procedure reprocessing and have become an area of interest in endoscopi...

SHAP-enabled explainable AI framework for clinical interpretation of valvular heart diseases via digital acoustic features.

Valvular heart diseases (VHDs), including mitral regurgitation (MR), aortic stenosis (AS), mitral stenosis (MS), and mitral valve prolapse (MVP) repre...

Key molecular mechanisms of mitochondrial metabolic pathways in specific cell subpopulations of pancreatic cancer based on scRNA-seq and bulk RNA-seq.

BACKGROUND: Pancreatic cancer (PC) is a highly malignant tumor with increasing incidence, mortality, and a low five-year survival rate. Mitochondrial ...

Comment on "Deep learning model for identifying significant tricuspid regurgitation using standard 12-lead electrocardiogram".

Screening and Evaluation of Post-stroke Dysphagia: Insights from Neurology, Artificial Intelligence and Data Science-A Scoping Review.

Post-stroke dysphagia (PSD) affects approximately 42% of acute stroke patients, increasing hospitalization costs and length of stay. Early identificat...

Aspartame exposure promotes endometriosis progression through PTGS2-mediated oxidative stress and mitochondrial dysfunction.

BACKGROUND: Aspartame, a widely used artificial sweetener, has been implicated in multiple toxicities. However, its potential reproductive toxicity me...

Artificial intelligence-assisted diagnostic endoscopy: time to address the next research questions.