Gastroenterology

GERD

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

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Mitigating cold-start problems in drug-target affinity prediction with interaction knowledge transferring.

Predicting the drug-target interaction is crucial for drug discovery as well as drug repurposing. Ma...

Analysis of classification tradeoff in deep learning for gastric cancer detection.

This study aimed to build convolutional neural network (CNN) models capable of classifying upper end...

[Robot-assisted Cardiac Surgery Council and Current Status and Future Prospect of Robotic Mitral Valve Surgery in Japan].

The Robot-assisted Cardiac Surgery Council (RACSC) was established in 2015, and consists of the memb...

[Development and thoughts of digestive endoscopy in children].

After nearly 40 years of development, digestive endoscopy in children has been widely applied, and i...

Persistent spectral based ensemble learning (PerSpect-EL) for protein-protein binding affinity prediction.

Protein-protein interactions (PPIs) play a significant role in nearly all cellular and biological ac...

EGRET: edge aggregated graph attention networks and transfer learning improve protein-protein interaction site prediction.

MOTIVATION: Protein-protein interactions (PPIs) are central to most biological processes. However, r...

PRODeepSyn: predicting anticancer synergistic drug combinations by embedding cell lines with protein-protein interaction network.

Although drug combinations in cancer treatment appear to be a promising therapeutic strategy with re...

Learning spatial structures of proteins improves protein-protein interaction prediction.

Spatial structures of proteins are closely related to protein functions. Integrating protein structu...

InDeep: 3D fully convolutional neural networks to assist in silico drug design on protein-protein interactions.

MOTIVATION: Protein-protein interactions (PPIs) are key elements in numerous biological pathways and...

Detecting spatially co-expressed gene clusters with functional coherence by graph-regularized convolutional neural network.

MOTIVATION: Clustering spatial-resolved gene expression is an essential analysis to reveal gene acti...

Robot-Assisted Laparoscopic Distal Ureteroureterostomy for Distal Benign Ureteral Strictures with Long-Term Follow-Up.

To demonstrate feasibility of robot-assisted laparoscopic (RAL) ureteroureterostomy (UU) for benign...

Identification of Ulcers and Erosions by the Novel Pillcamâ„¢ Crohn's Capsule Using a Convolutional Neural Network: A Multicentre Pilot Study.

BACKGROUND AND AIMS: Capsule endoscopy is a central element in the management of patients with suspe...

Bilateral endoscopic technique for left atrial appendectomy and robot-assisted mitral valve repair.

We report a bilateral thoracoscopic technique in which robot-assisted mitral valve repair was achiev...

DeepTrio: a ternary prediction system for protein-protein interaction using mask multiple parallel convolutional neural networks.

MOTIVATION: Protein-protein interaction (PPI), as a relative property, is determined by two binding ...

Structure-aware protein-protein interaction site prediction using deep graph convolutional network.

MOTIVATION: Protein-protein interactions (PPI) play crucial roles in many biological processes, and ...

Construction of a 5-feature gene model by support vector machine for classifying osteoporosis samples.

Osteoporosis is a progressive bone disease in the elderly and lacks an effective classification meth...

Improved prediction of protein-protein interaction using a hybrid of functional-link Siamese neural network and gradient boosting machines.

In this paper, for accurate prediction of protein-protein interaction (PPI), a novel hybrid classifi...

Identification of viral-mediated pathogenic mechanisms in neurodegenerative diseases using network-based approaches.

During the course of a viral infection, virus-host protein-protein interactions (PPIs) play a critic...

GraphSynergy: a network-inspired deep learning model for anticancer drug combination prediction.

OBJECTIVE: To develop an end-to-end deep learning framework based on a protein-protein interaction (...

Bioinformatics and machine learning approach identifies potential drug targets and pathways in COVID-19.

Current coronavirus disease-2019 (COVID-19) pandemic has caused massive loss of lives. Clinical tria...

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