Pancreatic Diseases

Efficient Deep Ladle-Net for fast universal 3D lesion segmentation on chest-abdomen-pelvis computed tomography.

Accurate evaluation of tumor size on follow-up computed tomography (CT) scans is critical for assessing treatment efficacy in cancer patients. However, universal lesion segmentation of CT remains a significant challenge due to the complexity and diversity of chest-abdomen-pelvis imaging. Traditional manual segmentation is time-consuming, labor-intensive, and subject to inter-observer variability d...

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

ConspectusTranscytosis, traditionally regarded as biological, constitutes an intrinsic and powerful pathway for macromolecule transport across endothelial and epithelial barriers. The emerging concept of Enhanced Transcytosis and Retention (ETR) is distinct from passive extravasation or tissue leakiness. It recasts nanocarrier delivery as an orchestrated chain of interfacial equilibria in which en...

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 traffic crashes worldwide. With increasing regulatory pr...

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- and middle-income countries. This study investig...

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 ecological safety and protecting human health. The perfor...

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

Pancreatic cancer is characterized by early metastasis and high aggressiveness, highlighting the need for novel molecular biomarkers to improve progno...

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 growing need for environmentally friendly and biodeg...

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 biological ageing that has been linked to the risk o...

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 successful among youth, particularly for young peopl...

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 fatal). Therefore, accurately determining the level of...

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 cardiovascular disease (CVD) is hindered by a vast an...

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 on injuries but has not been used for drowning. We ...

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 deaths attributed to the rise in consumption over th...

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 use during adolescence often leading to AUD in adult...

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 multimodal model (APNet) that integrates clinical fa...

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), and its early prediction remains challenging. This s...

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 students' well-being and school-related success, to...

Evaluating deep learning models for pancreatic cancer diagnosis.

Pancreatic cancer is a highly aggressive and often fatal disease, with early detection being a key factor for improving patient survival. Recent advan...