Gastroenterology

GERD

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

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Overview of Deep Learning in Gastrointestinal Endoscopy.

Artificial intelligence is likely to perform several roles currently performed by humans, and the ad...

A Survey on Medical Image Analysis in Capsule Endoscopy.

BACKGROUND AND OBJECTIVE: Capsule Endoscopy (CE) is a non-invasive, patient-friendly alternative to ...

Targeting Virus-host Protein Interactions: Feature Extraction and Machine Learning Approaches.

BACKGROUND: Targeting critical viral-host Protein-Protein Interactions (PPIs) has enormous applicati...

[Application of artificial intelligence in diagnosis of medical endoscope].

Through a brief overview of the origin and development of artificial intelligence, the research prog...

Prediction of human-Bacillus anthracis protein-protein interactions using multi-layer neural network.

MOTIVATION: Triplet amino acids have successfully been included in feature selection to predict huma...

Methodology to develop machine learning algorithms to improve performance in gastrointestinal endoscopy.

Assisted diagnosis using artificial intelligence has been a holy grail in medical research for many ...

[The robot-assisted system YunSRobot for soft endoscopy: a trial of remote manipulation on simulation models].

To evaluate the feasibility and safety of the robot-assisted system YunSRobot for remote manipulati...

Proton pump inhibitors receiving and prognosis of patients after scheduled percutaneous coronary interventions.

AIM: The urgency of the study is determined by the lack of data necessary in order to assess the saf...

Predicting protein-protein interactions through sequence-based deep learning.

MOTIVATION: High-throughput experimental techniques have produced a large amount of protein-protein ...

Co-complex protein membership evaluation using Maximum Entropy on GO ontology and InterPro annotation.

MOTIVATION: Protein-protein interactions (PPI) play a crucial role in our understanding of protein f...

Hookworm Detection in Wireless Capsule Endoscopy Images With Deep Learning.

As one of the most common human helminths, hookworm is a leading cause of maternal and child morbidi...

SANA NetGO: a combinatorial approach to using Gene Ontology (GO) terms to score network alignments.

MOTIVATION: Gene Ontology (GO) terms are frequently used to score alignments between protein-protein...

Identification of recurrent risk-related genes and establishment of support vector machine prediction model for gastric cancer.

This study sought to investigate genes related to recurrent risk and establish a support vector mach...

Handmade trileaflet valve design and validation for patch-valved conduit reconstruction using generalized regression machine learning model.

Pulmonary valve diseases include the different degrees of aortic stenosis or congenital defects in c...

Leveraging prior knowledge for protein-protein interaction extraction with memory network.

Automatically extracting protein-protein interactions (PPIs) from biomedical literature provides add...

Influence of Trendelenburg position and pneumoperitoneum treatment on gastroesophageal reflux in dogs.

Gastroesophageal reflux is a latent factor that may cause esophagitis, esophageal stenosis, and aspi...

[A Case Report of Maintaining Continuous Ambulatory Peritoneal Dialysis after Total Gastrectomy for Perforated Gastric Cancer with ESD].

A 73-year-old man, receiving maintenance continuous ambulatory peritoneal dialysis(CAPD)was admitted...

ISPRED4: interaction sites PREDiction in protein structures with a refining grammar model.

MOTIVATION: The identification of protein-protein interaction (PPI) sites is an important step towar...

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