Pancreatic Diseases

Machine learning-based prediction of cardiovascular disease risk in Africa using WHO Stepwise Surveys: 2014-2019

Introduction: Cardiovascular diseases (CVDs) are the leading cause of death globally, with rising burdens in Africa due to ageing populations, lifestyle changes, and poor risk factor control. Conventional risk scores developed in high-income settings often perform poorly in African populations. Machine-learning (ML) approaches offer potential to improve prediction by capturing complex, non-linear ...

Development and Validation of CPX-MATE: An End-to-End Medical Education Platform Integrating Voice-Based Virtual Patient Simulation and Automated Real-time Evaluation

Background: Objective Structured Clinical Examination (OSCE; Clinical Performance Examination [CPX] in South Korea) is a high-stakes assessment of clinical performance, communication, and reasoning during time-limited patient encounters. As AI-enabled virtual standardized patient (VSP) simulation and automated scoring are introduced for OSCE-like training, prospective evidence is needed on how suc...

From Global Radiomics to Parametric Maps: A Unified Workflow Fusing Radiomics and Deep Learning for PDAC Detection

Radiomics and deep learning both offer powerful tools for quantitative medical imaging, but most existing fusion approaches only leverage global radio...

Geometric-aware and interpretable deep learning for single-cell batch correction via explicit disentanglement and optimal transport

Single-cell RNA sequencing enables high-resolution characterization of cellular heterogeneity, yet integrating datasets from diverse sources remains c...

Disparities, Perceived Discrimination, and Patient-Clinician Communication in Alcohol Use Disorder Treatment: An All of Us Cohort Study

Background and Aims: Alcohol use disorder (AUD) remains a major public health concern, with persistent disparities in access to evidence-based treatme...

Biomarker Identification in Pancreatic Cancer Through Concordant Differential Expression and Interpretable Machine Learning Analyses

Background: Pancreatic ductal adenocarcinoma is one of the most aggressive and lethal malignancies of the gastrointestinal tract. The poor prognosis i...

CausalCellInfer: Resolving cell-type-specific disease mechanisms from biobank-scale GWAS

Integrating the cellular resolution of single-cell RNA sequencing (scRNA-seq) with the phenotypic depth of population-scale biobanks is essential for ...

Network-based integration of gene expression and DNA methylation identifies prognostic biomarkers for early-stage pancreatic cancer

Pancreatic ductal adenocarcinoma remains one of the most lethal malignancies, largely due to the absence of reliable early stage biomarkers. Here, we ...

Open-Source Offline-Deployable Retrieval-Augmented Large Language Model for Assisting Pancreatic Cancer Staging

Purpose: Large language models (LLMs) are increasingly applied in radiology, but key challenges remain, including data leakage from cloud-based system...

SCOPE: AI-Assisted Early Detection of Potentially Curable Pancreatic Neoplasms on CT from Local and Global Information

Purpose: To develop SCOPE (Small-lesion COntextual Pancreatic Evaluator), a deep learning model designed to improve CT detection of small pancreatic l...

Fast Organ-of-Origin Classification for Digital Pathology Quality Control

Digitizing large histopathology archives requires processing millions of scanned whole slide images that must be validated rapidly. Automated organ-of...

Transcriptomics-based modeling of methionine metabolism effectively estimates sample-wise DNA methylation activity and epigenetic aging

DNA methylation is a central epigenetic modification that regulates gene expression, maintains genomic stability, and guides cellular differentiation....

Identifying and Characterizing Gallstone Disease from Clinical Narratives with Zero-shot Learning and Automated Prompt Optimization

We built and evaluated a zero-shot LLM pipeline with automated, task-aware prompt optimization to extract radiology and symptom fields for gallstone p...

Early and Prediagnostic Detection of Pancreatic Cancer from Computed Tomography

Pancreatic ductal adenocarcinoma (PDAC), one of the deadliest solid malignancies, is often detected at a late and inoperable stage. Retrospective revi...

Predicting Gene Disease Associations in Type 2 Diabetes Using Machine Learning on Single-Cell RNA-Seq Data

Diabetes is a chronic metabolic disorder characterized by elevated blood glucose levels due to impaired insulin production or function. Two main forms...

Curated endoscopic retrograde cholangiopancreatography images dataset

Endoscopic Retrograde Cholangiopancreatography (ERCP) is a key procedure in the diagnosis and treatment of biliary and pancreatic diseases. Artificial...

Refining cardiometabolic risk assessment using MRI-derived pancreas volume and fat content: insights from the NAKO and UK Biobank

BackgroundThe pancreas is essential for metabolic homeostasis. Alterations in morphology and parenchymal integrity may impact proper function but are ...

Leveraging Pretrained Vision Transformers for classifying Alcohol Use Disorder using Raw Resting-State EEG

Alcohol Use Disorder (AUD) is a prevalent and debilitating neuropsychiatric condition characterized by compulsive alcohol consumption, impaired contro...

Integration of multi-omics data and machine learning to identify antioxidant biomarkers in type 1 diabetes.

The identification of biomarkers for early diagnosis and monitoring the progression of Type 1 Diabetes (T1DM) is essential for improving disease manag...

Bioactive films with essential oils and machine learning for controlling Aspergillus niger growth and fumonisin B production in vitro.

Aspergillus niger is an important species in the fungal community of many foods and is one of the most significant microorganisms used in biotechnolog...