GERD

Multi-omic biomarkers of neoadjuvant treatment response in rectal cancer: A narrative review.

BACKGROUND: Neoadjuvant treatment response in rectal cancer is highly heterogeneous, complicating patient selection for organ-preservation strategies. Robust biomarkers capable of accurately predicting treatment response are needed to improve personalized treatment decisions. METHODS: We conducted a narrative review of studies published since 2015 evaluating predictors of response to neoadjuvant t...

EXPRESS: Transcriptome profiling and experimental validation identify FOS, RAC2, and TYROBP as potential biomarkers for Fu's subcutaneous needling in neuropathic pain treatment.

BACKGROUND: This study aimed to explore potential biomarkers and mechanisms underlying in the treatment of neuropathic pain(NP) with Fu's subcutaneous needling(FSN), employing a transcriptomics approach. METHODS: In this study, RNA sequencing was performed in a rat model of chronic constriction injury treated with FSN and acupuncture methods. The FSN-related genes in the treatment of NP with FSN w...

Single-cell-based analysis establishes C1QA-mediated promotion of high glucose-induced tubular epithelial injury via ERS in DN.

BACKGROUND: Diabetic nephropathy (DN) poses a growing worldwide health challenge as a leading cause of end-stage renal disease, a condition that arise...

Deep learning for early detection of Zenker's diverticulum based on swallowing sound analysis.

PURPOSE: Patients with Zenker's diverticulum (ZD) often suffer from oropharyngeal dysphagia that can go undiagnosed for years. Diagnosis of ZD typical...

Learning and deskilling effects of artificial intelligence in colonoscopy among endoscopists with different levels of experience: a pragmatic, prospective trial.

BACKGROUND: The effect of computer-aided detection (CADe) on performance of endoscopists with different experience levels is not well understood. This...

Acid Yellow 36, Methyl Red, and Methylene Blue adsorption using ammonia-modified red algae biochar: isotherm, kinetic, regeneration, and ANN studies.

This paper examined the removal of Acid Yellow 36 (AY36), Methyl Red (MR), and Methylene Blue (MB) dyes using a novel Ammonia-decorated Red Algae Bioc...

How to quickly determine whether patients with chronic cough need corticosteroid treatment--construction of a predictive model for corticosteroid-responsive cough in chronic cough.

Patients with chronic cough need to undergo a wide range of tests and rely on empirical medication to determine the underlying cause. Corticosteroid-r...

Integrating machine learning and WGCNA to identify core candidate genes and decipher immune-related molecular networks in TcdA/TcdB-associated CDI.

Clostridioides difficile infection (CDI) remains a leading cause of healthcare-associated diarrhea and is characterized by high recurrence rates and i...

Integrative Transcriptomic, Network, and Machine Learning Analyses Identify Genistein and Resveratrol-Associated Therapeutic Targets in Alzheimer's Disease.

Alzheimer's disease (AD) is a multifactorial neurodegenerative disorder characterized by complex molecular alterations across multiple brain regions. ...

ProtAttn-QuadNet: An attention-based deep learning framework for protein-protein interaction prediction using ProtBERT embeddings.

Protein-protein interactions (PPIs) form the backbone of most cellular processes, governing signal transduction, gene regulation, and metabolic contro...

LLM Chatbot Integration With Inventory Systems for Gastroenterology and Endoscopy Services: A Systematic Review.

BACKGROUND: Generally, gastroenterology and digestive endoscopy units commonly face constraints. It may be due to a lack of equipment, poor scheduling...

Integrated Network Pharmacology, Molecular Docking, and Experimental Validation for Uncovering the Pharmacodynamic Basis of Sanghuang against Human Pulmonary Fibrosis.

INTRODUCTION/OBJECTIVE: Sanghuang, a traditional Chinese medicinal fungus, exhibits well-documented anti-inflammatory, antioxidant, and antitumor acti...

Techniques and outcomes review of the endoscopic management of gastrointestinal bleeding.

INTRODUCTION: Gastrointestinal (GI) bleeding is a frequent and potentially life-threatening emergency that imposes a substantial healthcare burden wor...

Optimizing cervical breath sound acquisition protocol in dysphagia patients: an orthogonal experimental study.

BACKGROUND: Dysphagia is a highly prevalent condition among patients with stroke. Cervical auscultation serves as a crucial screening method for dysph...

Common biomarkers of Alzheimer disease and postoperative delirium.

Alzheimer disease (AD) and Postoperative delirium (POD) may share a common mechanism, but their shared genes and potential novel therapeutic targets r...

MuSL: Multimodal deep learning for generalizable prediction of synthetic lethality from sequence, transcriptomic, and network data.

Synthetic lethality (SL) offers a promising paradigm for identifying selective anticancer targets. How ever, many computational SL prediction methods ...

KRT6A derived from mesenchymal stem cells as a potential biomarker and therapeutic target for alopecia areata: insights from multi-omics analysis and experimental evidence.

BACKGROUND: Mesenchymal stem cells (MSCs) secretome have shown promise in the treatment of alopecia areata (AA). However, the key therapeutic genes re...

3D printing of wheat starch gels for dysphagia diet: Molecular interaction mechanisms and machine learning-assisted prediction of IDDSI levels.

This study investigated how amylose content and intermolecular interactions regulate the 3D printability, structural properties, water distribution, a...

Reassessing negative 24 h pH impedance tests for hidden gastroesophageal reflux disease using multi feature anomaly detection.

Gastroesophageal reflux disease (GERD) diagnosis traditionally relies on acid exposure time (AET) obtained from 24-h multichannel intraluminal impedan...

Identification and validation of dyslipidemia and glutamate metabolism-associated gene diagnostic and therapeutic repurposing signature for Acute myocardial infarction patients: insights from integrative bioinformatic and multi-omic studies.

Objective Dyslipidemia and glutamate metabolism (DG) plays a crucial role in the pathogenesis of Acute myocardial infarction (AMI). Hence, deeper unde...