Peptic Ulcer Disease

Overview of Deep Learning in Gastrointestinal Endoscopy.

Artificial intelligence is likely to perform several roles currently performed by humans, and the adoption of artificial intelligence-based medicine in gastroenterology practice is expected in the near future. Medical image-based diagnoses, such as pathology, radiology, and endoscopy, are expected to be the first in the medical field to be affected by artificial intelligence. A convolutional neura...

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

BACKGROUND: Targeting critical viral-host Protein-Protein Interactions (PPIs) has enormous application prospects for therapeutics. Using experimental methods to evaluate all possible virus-host PPIs is labor-intensive and time-consuming. Recent growth in computational identification of virus-host PPIs provides new opportunities for gaining biological insights, including applications in disease con...

Artificial intelligence and capsule endoscopy: Is the truly "smart" capsule nearly here?

A Survey on Medical Image Analysis in Capsule Endoscopy.

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

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

Through a brief overview of the origin and development of artificial intelligence, the research progress of artificial intelligence in digestive endos...

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 human-HPV protein-protein interactions (PPI). The util...

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 years, and recent developments in computer hardwar...

[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 manipulation endoscopy. When the master of YunSRobot was in...

[A Case of Laparoscopic Resection for Locally Advanced Primary Rectal Cancer after Neoadjuvant Chemotherapy].

We treateda 70-year-oldfemale patient with locally advancedrectal cancer accompaniedby metastases to other organs. Three courses of S-1 plus oxaliplat...

[A Surgical Case of AFP-Producing Gastric Cancer Discovered by Rupture of Liver Metastatic Lesion].

A 57-year-old man visited our hospital with right hypochondralgia. Abdominal contrast CT showed a 10 cm sized mass in S6-7of the liver and abdominal h...

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 safety of prolonged use of proton pump inhibitors (PP...

Artificial Intelligence as a Third Eye in Lesion Detection by Endoscopy.

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

MOTIVATION: High-throughput experimental techniques have produced a large amount of protein-protein interaction (PPI) data, but their coverage is stil...

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 function and biological processes. The standardizat...

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 morbidity, which seriously threatens human health. Recent...

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 interaction (PPI) networks. Methods exist to meas...

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 machine (SVM) classifier for prediction of recurrent r...

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

Automatically extracting protein-protein interactions (PPIs) from biomedical literature provides additional support for precision medicine efforts. Th...

EVALUATION OF THE BEHAVIOR OF LEVELS OF HMGB1 AND IL6 AS PREDICTORS OF INFECTION, ACUTE KIDNEY INJURY AND MORTALITY IN CIRRHOTIC PATIENTS WITH VARICEAL BLEEDING.

BACKGROUND: Gastroesophageal varices and associated bleeding are a major cause of morbidity and mortality in cirrhotic patients.

[Improved technique for perforation of patella combined with suture anchor and non-tourniquet for repairing acute rupture of the bone tendon junction of quadriceps tendon].

OBJECTIVE: To investigate effectiveness of a improved technique for perforation of patella combined with suture anchor and non-tourniquet for repairin...