Pancreatic Diseases

Profiling of Exosomal Biomarkers for Accurate Cancer Identification: Combining DNA-PAINT with Machine- Learning-Based Classification.

Exosomes are endosome-derived vesicles enriched in body fluids such as urine, blood, and saliva. So ...

Alcohol outlets and firearm violence: a place-based case-control study using satellite imagery and machine learning.

INTRODUCTION: This article proposes a novel method for matching places based on visual similarity, u...

ASO Author Reflections: Formalization of Robotic Central Pancreatectomy Focusing on the Reconstruction of Pancreatic Digestive Continuity.

Performance of deep learning for differentiating pancreatic diseases on contrast-enhanced magnetic resonance imaging: A preliminary study.

PURPOSE: The purpose of this study was to evaluate the ability of deep learning to differentiate pan...

Annotated normal CT data of the abdomen for deep learning: Challenges and strategies for implementation.

PURPOSE: The purpose of this study was to report procedures developed to annotate abdominal computed...

Inferring the Disease-Associated miRNAs Based on Network Representation Learning and Convolutional Neural Networks.

Identification of disease-associated miRNAs (disease miRNAs) are critical for understanding etiology...

Response to repeat echoendoscopic celiac plexus neurolysis in pancreatic cancer patients: A machine learning approach.

BACKGROUND: /Objectives: Efficacy of repeat echoendoscopic celiac plexus neurolysis is still unclear...

Recurrent Saliency Transformation Network for Tiny Target Segmentation in Abdominal CT Scans.

We aim at segmenting a wide variety of organs, including tiny targets (e.g., adrenal gland), and neo...

A newly developed transparent and flexible one-transistor memory device using advanced nanomaterials for medical and artificial intelligence applications.

 Artificial intelligence (AI) integrated circuits (IC) have memory devices as the key component. Due...

Artificial neural networks accurately predict intra-abdominal infection in moderately severe and severe acute pancreatitis.

OBJECTIVE: The aim of this study was to evaluate the efficacy of artificial neural networks (ANN) in...

Clinically Applicable Deep Learning Algorithm Using Quantitative Proteomic Data.

Deep learning (DL), a type of machine learning approach, is a powerful tool for analyzing large sets...

Synthesis and Swelling Behavior of Sodium Alginate/Poly(vinyl alcohol) Hydrogels.

OBJECTIVES: Hydrogels are macromolecular networks able to absorb and release water/biological fluids...

Development and validation of three machine-learning models for predicting multiple organ failure in moderately severe and severe acute pancreatitis.

BACKGROUND: Multiple organ failure (MOF) is a serious complication of moderately severe (MASP) and s...

[Maturity Onset Diabetes of the Young: case report].

BACKGROUND: Maturity Onset Diabetes of the Young (MODY) is a type of diabetes that results from muta...

Urban American Indian Adult Participation and Outcomes in Culturally Adapted and Mainstream Alcoholics Anonymous Meetings.

Very little is known about American Indian (AI) adults' participation in Alcoholics Anonymous (AA) d...

Markerless Pancreatic Tumor Target Localization Enabled By Deep Learning.

PURPOSE: Deep learning is an emerging technique that allows us to capture imaging information beyond...

Salivary microRNAs identified by small RNA sequencing and machine learning as potential biomarkers of alcohol dependence.

Salivary miRNA can be easily accessible biomarkers of alcohol dependence (AD). The miRNA transcrip...

Diagnostic ability of artificial intelligence using deep learning analysis of cyst fluid in differentiating malignant from benign pancreatic cystic lesions.

The diagnosis of pancreatic cystic lesions remains challenging. This study aimed to investigate the ...

Streptococcus Gallolyticus endocarditis in patient with liver cirrhosis: a case report.

Streptococcus gallolyticus (S. gallolyticus) bacteremia is commonly associated with endocarditis and...

Deep Q Learning Driven CT Pancreas Segmentation With Geometry-Aware U-Net.

The segmentation of pancreas is important for medical image analysis, yet it faces great challenges ...

Exon level machine learning analyses elucidate novel candidate miRNA targets in an avian model of fetal alcohol spectrum disorder.

Gestational alcohol exposure causes fetal alcohol spectrum disorder (FASD) and is a prominent cause ...