GERD

A comprehensive machine learning for high throughput Tuberculosis sequence analysis, functional annotation, and visualization.

With human guidance, computers now use machine learning (ML) in artificial intelligence (AI) to lear...

Artificial intelligence-enhanced electrocardiography to predict regurgitant valvular heart diseases: an international study.

BACKGROUND AND AIMS: Valvular heart disease (VHD) is a significant source of morbidity and mortality...

Artificial oesophagus - a new technology for oesophageal surgery.

A new artificial oesophagus is described. The device allows minimally invasive oesophageal resection...

Identification and experimental validation of BMX as a crucial PANoptosis‑related gene for immune response in Spinal Cord Injury.

Spinal cord injury (SCI) is a debilitating neurological condition that severely impacts motor, senso...

A comprehensive analysis of transcription factors identified TCF3 as a prognostic target for glioma.

Transcription factors (TFs) are pivotal in tumor initiation and progression, regulating downstream g...

Analysis of Protein-Protein Interactions in CC125 by Co-Fractionation Mass Spectrometry.

, a unicellular eukaryotic green alga, is an important biological model. Previous studies on protein...

How machine learning on real world clinical data improves adverse event recording for endoscopy.

Endoscopic interventions are essential for diagnosing and treating gastrointestinal conditions. Accu...

Autoimmune gastritis detection from preprocessed endoscopy images using deep transfer learning and moth flame optimization.

Gastric Tract Disease (GTD) constitutes a medical emergency, emphasizing the critical importance of ...

Flow-Rate-Constrained Physics-Informed Neural Networks for Flow Field Error Correction in Four-Dimensional Flow Magnetic Resonance Imaging.

In this study, we present enhanced physics-informed neural networks (PINNs), which were designed to ...

Deep learning-based allergic rhinitis diagnosis using nasal endoscopy images.

Allergic rhinitis typically has edematous and pale turbinates or erythematous and inflamed turbinate...

Combining the NanaPPI Toolbox and AI-Driven Virtual Inhibitor Screening for the p53-MDM2 Interaction.

High-throughput screening for inhibitors of protein-protein interactions (PPIs) provides vital infor...

Machine learning identifies KRT8 dysregulation and endothelial remodeling in Moyamoya disease.

Moyamoya disease (MMD) is a rare occlusive cerebrovascular disease, and its pathological mechanism r...

Deep learning-based video analysis for automatically detecting penetration and aspiration in videofluoroscopic swallowing study.

The videofluoroscopic swallowing study (VFSS) is the gold standard for diagnosing dysphagia, but its...

Prediction model of recurrence in patients with lumbar disc herniation after unilateral biportal endoscopy spinal surgery- XGBoost machine learning model can be interpreted based on SHAP.

Association between prenatal exposure to per- and polyfluoroalkyl substances and blood pressure among preschool-aged children: The moderating effect of child-age and the mediating effect of inflammatory cytokine.

Our aim is to evaluate the association of prenatal exposure to per- and polyfluoroalkyl substances (...

Ultrahigh-Throughput Virtual Screening Strategies against PPI Targets: A Case Study of STAT Inhibitors.

In recent years, virtual screening of ultralarge (10) libraries of synthetically accessible compound...

eNCApsulate: neural cellular automata for precision diagnosis on capsule endoscopes.

PURPOSE: Wireless capsule endoscopy (WCE) is a noninvasive imaging method for the entire gastrointes...

Identification and single-cell analysis of prognostic genes related to mitochondrial and neutrophil extracellular traps in bladder cancer.

The development of bladder cancer (BLCA) is associated with mitochondrial dysfunction and neutrophil...

Evolving Role of Artificial Intelligence in Endoscopic Management of Inflammatory Bowel Disease: Diagnosis, Surveillance, and Assessment.

Inflammatory bowel disease (IBD), including Crohn's disease and ulcerative colitis, presents substan...

Predicting semantic segmentation quality in laryngeal endoscopy images.

Endoscopy is a major tool for assessing the physiology of inner organs. Contemporary artificial inte...

Integrating machine learning and bioinformatics approaches to identify novel diagnostic gene biomarkers for diabetic mice.

Diabetes is a complex metabolic disorder, and its pathogenesis involves the interplay of genetic, en...