Gastroenterology

Peptic Ulcer Disease

Latest AI and machine learning research in peptic ulcer disease for healthcare professionals.

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Showing 1177-1197 of 3,942 articles
Progressive Limb-Aware Virtual Try-On

Existing image-based virtual try-on methods directly transfer specific clothing to a human image w...

A Novel Framework for Comparing Combination Therapy Outcomes Using Mechanistic Graph Models

Background: Predicting the efficacy of combination therapies is a critical challenge in clinical d...

Joint Masked Reconstruction and Contrastive Learning for Mining Interactions Between Proteins

Protein-protein interaction (PPI) prediction is an instrumental means in elucidating the mechanism...

Enhanced Multi-Class Classification of Gastrointestinal Endoscopic Images with Interpretable Deep Learning Model

Endoscopy serves as an essential procedure for evaluating the gastrointestinal (GI) tract and play...

LightEndoStereo: A Real-time Lightweight Stereo Matching Method for Endoscopy Images

Real-time acquisition of accurate depth of scene is essential for automated robotic minimally inva...

Autonomous Vision-Guided Resection of Central Airway Obstruction

Existing tracheal tumor resection methods often lack the precision required for effective airway c...

Targeting C99 Mediated Metabolic Disruptions with Ketone Therapy in Alzheimer's Disease

The role of ketone bodies in Alzheimers disease (AD) remains incompletely understood, particularly...

Application of artificial intelligence in the detection of Borrmann type 4 advanced gastric cancer in upper endoscopy (with video).

BACKGROUND: Borrmann type-4 (B-4) advanced gastric cancer is challenging to diagnose through routine...

Feb 2025 39955610
Uncertainty-Aware Adaptation of Large Language Models for Protein-Protein Interaction Analysis

Identification of protein-protein interactions (PPIs) helps derive cellular mechanistic understand...

Enhanced Feature-based Image Stitching for Endoscopic Videos in Pediatric Eosinophilic Esophagitis

Video endoscopy represents a major advance in the investigation of gastrointestinal diseases. Revi...

MaintaAvatar: A Maintainable Avatar Based on Neural Radiance Fields by Continual Learning

The generation of a virtual digital avatar is a crucial research topic in the field of computer vi...

Influence of color correction on pathology detection in Capsule Endoscopy

Pathology detection in Wireless Capsule Endoscopy (WCE) using deep learning has been explored in t...

Machine learning prediction of hepatic encephalopathy for long-term survival after transjugular intrahepatic portosystemic shunt in acute variceal bleeding.

BACKGROUND: Transjugular intrahepatic portosystemic shunt (TIPS) is an effective intervention for ma...

Jan 2025 39877716
EndoDINO: A Foundation Model for GI Endoscopy

In this work, we present EndoDINO, a foundation model for GI endoscopy tasks that achieves strong ...

Proteomic Learning of Gamma-Aminobutyric Acid (GABA) Receptor-Mediated Anesthesia

Anesthetics are crucial in surgical procedures and therapeutic interventions, but they come with s...

Machine Learning-Based Prediction of ICU Readmissions in Intracerebral Hemorrhage Patients: Insights from the MIMIC Databases

Intracerebral hemorrhage (ICH) is a life-risking condition characterized by bleeding within the br...

XL-Ranker: A Computational Workflow for Prioritizing Protein-Protein Interactions from Cross-Linking Mass Spectrometry Data

Protein-protein interactions (PPIs) are central to virtually all biological processes, and their dis...

ProtLoc-GRPO: Cell line-specific subcellular localization prediction using a graph-based model and reinforcement learning

Subcellular localization prediction is crucial for understanding protein functions and cellular proc...

GeoGAT-site: A Face-Centered Geometric Graph Attention Network for Protein-Protein Interface Prediction

Protein-protein interactions (PPIs) underpin the intricate machinery of cellular life, orchestrating...

ProteomeLM: A proteome-scale language model allowing fast prediction of protein-protein interactions and gene essentiality across taxa

Language models starting from biological sequence data are advancing many inference problems, both a...

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