Gastroenterology

Peptic Ulcer Disease

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

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[Latest development of intestinal capsule endoscopy robot].

With the development of capsule endoscopy, developing active capsule endoscopy robot becomes a growi...

The Minimally Invasive Manipulator: an ergonomic and economic non-robotic alternative for endoscopy?

INTRODUCTION: Since the da Vinci robotic system was introduced, it has been reported to have ergonom...

EFFECTS OF PREOPERATIVE ENOXAPARIN ON BLEEDING AFTER CORONARY ARTERY BYPASS SURGERY.

BACKGROUND: Low molecular weight heparins are replacing unfractionated heparin in practice prior to ...

[HIGH FREQUENCY OF CYP2C19 ULTRARAPID METABOLIZERS IN RUSSIAN PATIENTS WITH PEPTIC ULCER].

INTRODUCTION: The main enzyme responsible for metabolism of proton pump inhibitors (PPI) is cytochro...

Predicting Protein-Protein Interaction Sites with a Novel Membership Based Fuzzy SVM Classifier.

Predicting residues that participate in protein-protein interactions (PPI) helps to identify, which ...

Assessing protein-protein interactions based on the semantic similarity of interacting proteins.

The Gene Ontology (GO) has been used in estimating the semantic similarity of proteins since it has ...

P-Finder: Reconstruction of Signaling Networks from Protein-Protein Interactions and GO Annotations.

Because most complex genetic diseases are caused by defects of cell signaling, illuminating a signal...

Prediction of protein-protein interaction sites from weakly homologous template structures using meta-threading and machine learning.

The identification of protein-protein interactions is vital for understanding protein function, eluc...

Effects of Plasma Transfusion on Perioperative Bleeding Complications: A Machine Learning Approach.

Perioperative bleeding (PB) is associated with increased patient morbidity and mortality, and result...

[LAPAROSCOPIC AND OPEN RADICAL CYSTECTOMY FOR BLADDER CANCER].

Radical cystectomy is the standard method for treatment of muscle-invasive and locally advanced blad...

Post-operative bleeding risk stratification in cardiac pulmonary bypass patients using artificial neural network.

The prediction of bleeding risk in cardiopulmonary bypass (CPB) patients plays a vital role in their...

Identification of hepatocellular carcinoma-related genes with a machine learning and network analysis.

Liver cancer is one of the leading causes of cancer mortality worldwide. Hepatocellular carcinoma (H...

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