GERD

Topology-driven negative sampling enhances generalizability in protein-protein interaction prediction.

MOTIVATION: Unraveling the human interactome to uncover disease-specific patterns and discover drug ...

Sim2Real in endoscopy segmentation with a novel structure aware image translation

Automatic segmentation of anatomical landmarks in endoscopic images can provide assistance to doct...

Current Technological Advances in Dysphagia Screening: Systematic Scoping Review.

BACKGROUND: Dysphagia affects more than half of older adults with dementia and is associated with a ...

The influence of prompt engineering on large language models for protein-protein interaction identification in biomedical literature.

Identifying protein-protein interactions (PPIs) is a foundational task in biomedical natural languag...

Artificial intelligence-based echocardiography assessment to detect pulmonary hypertension.

BACKGROUND: Tricuspid regurgitation jet velocity (TRJV) on echocardiography is used for screening pa...

Searching for Insights Into the Timing of Intervention in Aortic Regurgitation Using Machine Learning.

eNCApsulate: NCA for Precision Diagnosis on Capsule Endoscopes

Wireless Capsule Endoscopy is a non-invasive imaging method for the entire gastrointestinal tract,...

Enhanced Anomaly Detection for Capsule Endoscopy Using Ensemble Learning Strategies

Capsule endoscopy is a method to capture images of the gastrointestinal tract and screen for disea...

Noninvasive prediction of esophagogastric varices in hepatitis B: An extreme gradient boosting model based on ultrasound and serology.

BACKGROUND: Severe esophagogastric varices (EGVs) significantly affect prognosis of patients with he...

Context-Independent OCR with Multimodal LLMs: Effects of Image Resolution and Visual Complexity

Due to their high versatility in tasks such as image captioning, document analysis, and automated ...

MSNGO: multi-species protein function annotation based on 3D protein structure and network propagation

Motivation: In recent years, protein function prediction has broken through the bottleneck of sequ...

Graph Kolmogorov-Arnold Networks for Multi-Cancer Classification and Biomarker Identification, An Interpretable Multi-Omics Approach

The integration of heterogeneous multi-omics datasets at a systems level remains a central challen...

3D Densification for Multi-Map Monocular VSLAM in Endoscopy

Multi-map Sparse Monocular visual Simultaneous Localization and Mapping applied to monocular endos...

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...

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...

Privacy Ripple Effects from Adding or Removing Personal Information in Language Model Training

Due to the sensitive nature of personally identifiable information (PII), its owners may have the ...

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...

Towards Patient-Specific Surgical Planning for Bicuspid Aortic Valve Repair: Fully Automated Segmentation of the Aortic Valve in 4D CT

The bicuspid aortic valve (BAV) is the most prevalent congenital heart defect and may require surg...

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

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