Gastroenterology

GERD

Latest AI and machine learning research in gerd for healthcare professionals.

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Multi-modal Representation Learning Enables Accurate Protein Function Prediction in Low-Data Setting

In this study, we propose HOPER (HOlistic ProtEin Representation), a novel multimodal learning fra...

Advancements in biliopancreatic endoscopy - A comprehensive review of artificial intelligence in EUS and ERCP.

The development and implementation of artificial intelligence (AI), particularly deep learning (DL) ...

Nov 2024 38832589
GastroFuse-Net: an ensemble deep learning framework designed for gastrointestinal abnormality detection in endoscopic images.

Convolutional Neural Networks (CNNs) have received substantial attention as a highly effective tool ...

Aug 2024 39483096
New GO-based measures in multiple network alignment.

MOTIVATION: Protein-protein interaction (PPI) networks provide valuable insights into the function o...

Aug 2024 39082966
INTREPPPID-an orthologue-informed quintuplet network for cross-species prediction of protein-protein interaction.

An overwhelming majority of protein-protein interaction (PPI) studies are conducted in a select few ...

Jul 2024 39171984
Identification of molecular subtypes of dementia by using blood-proteins interaction-aware graph propagational network.

Plasma protein biomarkers have been considered promising tools for diagnosing dementia subtypes due ...

Jul 2024 39226887
DDMut-PPI: predicting effects of mutations on protein-protein interactions using graph-based deep learning.

Protein-protein interactions (PPIs) play a vital role in cellular functions and are essential for th...

Jul 2024 38783112
Towards Non-Invasive Swallowing Assessment: an AI-Powered Interface for Swallowing Kinematic Analysis using High-Resolution Cervical Auscultation.

Swallowing is a pivotal physiological function for human sustenance and hydration. Dysfunctions, ter...

Jul 2024 40039155
Grade classification of nasal obstruction from endoscopy videos using machine learning.

Nasal obstruction (NO), referring to blockage in the nasal cavity, is prevalent, affecting approxima...

Jul 2024 40039197
Graph Representation Learning Strategies for Omics Data: A Case Study on Parkinson's Disease

Omics data analysis is crucial for studying complex diseases, but its high dimensionality and hete...

Arrhythmic Mitral Valve Prolapse Phenotype: An Unsupervised Machine Learning Analysis Using a Multicenter Cardiac MRI Registry.

Purpose To use unsupervised machine learning to identify phenotypic clusters with increased risk of ...

Jun 2024 38900026
AI-assisted capsule endoscopy reading in suspected small bowel bleeding: a multicentre prospective study.

BACKGROUND: Capsule endoscopy reading is time consuming, and readers are required to maintain attent...

May 2024 38670743
Surveying biomedical relation extraction: a critical examination of current datasets and the proposal of a new resource.

Natural language processing (NLP) has become an essential technique in various fields, offering a wi...

Mar 2024 38609331
ASD2023: towards the integrating landscapes of allosteric knowledgebase.

Allosteric regulation, induced by perturbations at an allosteric site topographically distinct from ...

Jan 2024 37870448
Integration of transcriptome and machine learning to identify the potential key genes and regulatory networks affecting drip loss in pork.

Low level of drip loss (DL) is an important quality characteristic of meat with high economic value....

Jan 2024 38865489
Graph-DTI: A New Model for Drug-target Interaction Prediction Based on Heterogenous Network Graph Embedding.

BACKGROUND: In this study, we aimed to develop a new end-to-end learning model called Graph-Drug-Tar...

Jan 2024 37448360
Challenges involved in the application of artificial intelligence in gastroenterology: The race is on!

Gastroenterology is a particularly data-rich field, generating vast repositories of data that are a ...

Dec 2023 38186861
Development and evaluation of acceptance scale for artificial intelligence in digestive endoscopy by subjects.

OBJECTIVES: Digestive endoscopy is an important diagnostic and therapeutic tool for digestive system...

Dec 2023 38448378
Ensemble-GNN: federated ensemble learning with graph neural networks for disease module discovery and classification.

SUMMARY: Federated learning enables collaboration in medicine, where data is scattered across multip...

Nov 2023 37988152
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