Gastroenterology

An uncertainty aided framework for learning based livermapping and analysis.

. QuantitativeT1ρimaging has potential for assessment of biochemical alterations of liver pathologie...

Integration of Deep Learning and Sequential Metabolism to Rapidly Screen Dipeptidyl Peptidase (DPP)-IV Inhibitors from .

Traditional Chinese medicine (TCM) possesses unique advantages in the management of blood glucose an...

Deep Learning Framework for Liver Segmentation from -Weighted MRI Images.

The human liver exhibits variable characteristics and anatomical information, which is often ambiguo...

Robot-Assisted Extraperitoneal Radical Prostatectomy for Giant Multilocular Prostatic Cystadenoma: A Case Report and Literature Review.

A 48-year-old man with a medical history of hypertension and no family history of prostate cancer pr...

Curcumin Modulates NOX Gene Expression and ROS Production via P-Smad3C in TGF-β-Activated Hepatic Stellate Cells.

BACKGROUND: Liver fibrosis, associated with hepatic stellate cells (HSCs), occurs when a healthy liv...

An intronic genetic variant of ZHX2 predicts response to pegylated interferon α therapy in HBeAg-positive chronic hepatitis B patients.

ZHX2 plays a crucial role in host immunity and modulates hepatitis B virus (HBV) replication. Howeve...

Magnetic Resonance Deep Learning Radiomic Model Based on Distinct Metastatic Vascular Patterns for Evaluating Recurrence-Free Survival in Hepatocellular Carcinoma.

BACKGROUND: The metastatic vascular patterns of hepatocellular carcinoma (HCC) are mainly microvascu...

Exploring novel ANGICon-EIPs through ameliorated peptidomics techniques: Can deep learning strategies as a core breakthrough in peptide structure and function prediction?

Dairy-derived angiotensin-I-converting enzyme inhibitory peptides (ANGICon-EIPs) have been regarded ...

Methotrexate-induced hepatotoxicity in rats and the therapeutic properties of vitamin E: a histopathologic and flowcytometric research.

AIM OF THE STUDY: Methotrexate (MTX) causes oxidative stress-related liver damage. Our objective was...

Developing and scaling up captopril-loaded electrospun ethyl cellulose fibers for sustained-release floating drug delivery.

In this work ethyl cellulose (EC) was used as the matrix polymer and loaded with captopril, with the...

Impact of Endoscopic Surgery Versus Robot CAS-R-2 Assisted with Stereotactic Drainage on Prognosis of Basal Ganglia Hypertensive Intracerebral Hemorrhage.

OBJECTIVE: To evaluate the impact of endoscopic surgery (ES) versus robot CAS-R-2 assisted with ster...

Shear wave elastography-based deep learning model for prognosis of patients with acutely decompensated cirrhosis.

PURPOSE: This study aimed to develop and validate a deep learning model based on two-dimensional (2D...

Machine learning-based feature selection to search stable microbial biomarkers: application to inflammatory bowel disease.

BACKGROUND: Biomarker discovery exploiting feature importance of machine learning has risen recently...

Color-coded laparoscopic liver resection using artificial intelligence: A preliminary study.

Tashiro and colleagues demonstrated for the first time that an artificial intelligence system can pr...

EMDL_m6Am: identifying N6,2'-O-dimethyladenosine sites based on stacking ensemble deep learning.

BACKGROUND: N6, 2'-O-dimethyladenosine (mAm) is an abundant RNA methylation modification on vertebra...

Identifying Macrophage-Related Genes in Ulcerative Colitis Using Weighted Coexpression Network Analysis and Machine Learning.

Ulcerative colitis (UC) is an inflammatory bowel disease of unknown cause that typically affects the...

Percutaneous liver interventions with robotic systems: a systematic review of available clinical solutions.

OBJECTIVE: Robotic-guided interventions are emerging techniques that are gradually becoming a common...

AI (Artificial Intelligence) as an IA (Intelligent Assistant): ChatGPT for Surveillance Colonoscopy Questions.

Deep Learning-Based Survival Analysis for Receiving a Steatotic Donor Liver Versus Waiting for a Standard Liver.

BACKGROUND: An emerging strategy to expand the donor pool is the use of a steatotic donor liver (SDL...

Radiomics-based Machine Learning to Predict the Recurrence of Hepatocellular Carcinoma: A Systematic Review and Meta-analysis.

RATIONALE AND OBJECTIVES: Recurrence of hepatocellular carcinoma (HCC) is a major concern in its man...

Identification of plasma proteomic signatures associated with the progression of cardia gastric cancer and precancerous lesions.

OBJECTIVE: Considering that there are no effective biomarkers for the screening of cardia gastric ca...