Pancreatic Diseases

Interpretable machine learning for predicting delays in seeking abortion among reproductive-aged women in Ethiopia: A study using EDHS 2016 data.

Delayed access to abortion care in Ethiopia poses significant public health risks, yet it has not be...

Whole-Body Transformation in Obese Patients Undergoing Metabolic Surgery: Insights From Automated Multiorgan Segmentation.

PURPOSE: This study assesses whether automated segmentation allows evaluation of subtle changes in v...

Detection of Lung and Colon Cancer Using XRx-Net With Histopathological Images.

Lung and Colon Cancer (LCC) is a prevalent type of cancer influenced by factors such as genetics, sm...

Enhanced Transcytosis and Retention (ETR) of Drug Delivery Nanocarrier in Solid Tumors.

ConspectusTranscytosis, traditionally regarded as biological, constitutes an intrinsic and powerful ...

Thermal imaging for the detection of driver impairment: evidence from a high-fidelity driving simulator study.

OBJECTIVES: Driving under the influence of alcohol (DUI) remains a major contributor to fatal traffi...

Occupational Heat Stress in Industrial Workers: Modifiable Predictors and Machine Learning Risk Classification in Northeast India.

BACKGROUND: Occupational heat stress poses a growing threat to worker health and productivity in low...

PVA/AgNP hydrogel SERS substrate combined with machine learning for highly sensitive detection of organic selenium species.

Accurate detection of organic selenium species in soil and water is essential for preserving ecologi...

Prognostic Significance and Immune Landscape of Migrasome-Related Genes in Pancreatic Cancer.

Pancreatic cancer is characterized by early metastasis and high aggressiveness, highlighting the nee...

Bioactive polyvinyl alcohol/chitosan films with novel streblus asper leaves- derived cellulose nanocrystals and Hygrophila auriculata oil for prolonging the shelf life of grapes: Machine learning modeling, and experimental approach.

Interest in bio-based nanocomposites made from natural resources has increased as a result of the gr...

Decoding the pancreatic duct: Multi-structure radiomics redefines risk stratification and early cancer detection in intraductal papillary mucinous neoplasm.

Modifiable risk factors associated with increased retinal age gap in an Australian population.

Retinal age gap (RAG)-the difference between retina-predicted age and chronological age-indicates bi...

Development and validation of a deep learning radiomics model based on ultrasound and clinical features to predict prognosis in elderly patients with advanced pancreatic cancer after HIFU therapy.

Common factors and unique pathways for linkages between HIV/STI prevention and syndemic behaviours in high-risk youth: protocol for a secondary analysis of harmonised data from six clinical trials.

INTRODUCTION: HIV/sexually transmitted infection (STI) prevention interventions are only modestly su...

Evaluation of the level of responsibility in pedestrian crashes using machine learning algorithms.

Traffic crashes involving pedestrians tend to result in the most casualties (minor, serious, or fata...

Natural language processing of biomedical text to map and prioritize protein-disease associations in HFpEF.

The validation of promising clinical biomarkers, molecular mechanisms, and novel drug targets in car...

Using artificial intelligence to identify drowning risk and protective factors present in media reports in metropolitan Houston, Texas.

BACKGROUND: Natural language processing (NLP) can process unstructured text to provide information o...

Alcohol Policies in the Association of Southeast Asian Nations Region-Challenges, Opportunities and Moving Forward.

The Association of Southeast Asian Nations (ASEAN) region saw an increase in alcohol-attributable de...

A Deep Learning Model for Absolute Risk Prediction of Alcohol Use Disorder in Adolescents and Young Adults.

INTRODUCTION: Alcohol use disorder (AUD) is a major public health concern worldwide, with alcohol us...

Multi-modal deep learning model for predicting recurrence of moderately severe and severe acute pancreatitis.

PURPOSE: To overcome the limitations of single-modality predictors by developing and validating a mu...

Predicting infected pancreatic necrosis in acute pancreatitis using machine learning models and feature selection.

Infected pancreatic necrosis (IPN) is a life-threatening complication of acute pancreatitis (AP), an...

Leveraging Machine Learning to Understand the Link Between School Climate and Youth Substance Use: a Focus on Cannabis and Alcohol Use.

This paper focuses on school climate indicators, which have been previously linked with aspects of s...