Pancreatic Diseases

Automated Detection of Extrahepatic Bile Duct Stones on Intraoperative Cholangiography Using Deep Learning

Objective: To evaluate the case-level performance of deep-learning segmentation models for detecting extrahepatic bile duct stones on representative intraoperative cholangiography images (IOC) and to characterize the completeness of individual-stone localization. Background: Retained bile duct stones can cause biliary obstruction, cholangitis, and pancreatitis. However false-positive interpretatio...

Evaluating computational assays of chronic fatigue using UK Biobank data

Chronic fatigue, characterized by persistent physical and/or mental exhaustion, is a frequent and debilitating symptom in medicine. Despite its impact, clinical management remains a challenge. A key problem is the absence of any biomarkers; as a consequence, diagnosis rests entirely on patients' self-report. This contributes to patient stigmatization and highlights the need for objective diagnosti...

A Biologically Informed Heterogeneous Graph Neural Network for Multi-Task Prediction of ncRNA-Metastasis-Cancer Interactions

Metastasis involves context-dependent molecular interactions in which non-coding RNAs, particularly miRNAs and circRNAs, play important regulatory rol...

Deep learning-based identification and quantification of rare circulating hybrid cells in orthotopic pancreatic cancer models

Significance: Rare-cell identification in fluorescence microscopy remains challenging because targets are sparse and background varies between specime...

Modifiable Contributors to Socioeconomic Inequality in Brain Aging

Importance Socioeconomic disadvantage is associated with accelerated brain aging. However, the modifiable factors accounting for this association, and...

Gaussian Meta-Space Augmentation for Stacking Ensembles in Multimodal IPMN Risk Stratification

Pancreatic cancer is among the most lethal malignancies; risk stratification of intraductal papillary mucinous neoplasms (IPMNs) offers a crucial oppo...

Multimodal neuroimaging-microbiota integration identifies Akkermansia as a modulator of alcohol-induced gut-liver-brain pathology

Alcohol use disorder (AUD) disrupts the gut-liver-brain axis, yet mechanistically grounded and therapeutically actionable targets within this network ...

Invasion status stratifies the composition of the human pancreatic cancer perineural niche

The peripheral nervous system innervates the pancreatic ductal adenocarcinoma (PDAC) microenvironment, and perineural invasion (PNI), the invasion of ...

Multi-scale modeling of human tissues from spatial transcriptomics with TERRA

Spatial transcriptomics maps gene expression at cellular resolution, revealing how cells organize into multicellular niches. Yet computational analyse...

An Evaluation of DMR Informed Fine-Tuning of Tissue Array Pretrained CpGPT for Gastrointestinal Cancer Classification Using cfDNA Targeted Methylation

Background Cell free DNA (cfDNA) methylation profiling is promising for minimally invasive cancer detection, but its translation is limited by high di...

Bayesian Feature Extraction using Gaussian and Diffused-gamma Priors for High Dimensional Spatio-Temporal Data

High-dimensional data with sparse structure and spatio-temporal dependence arise in many scientific domains. We develop a Bayesian feature-extraction ...

SCTA: An Agentic Framework for Stable and Interpretable Target Gene Discovery from Single-Cell RNA Sequencing

Identifying therapeutic target genes from single-cell RNA sequencing (scRNA-seq) data remains a fundamental challenge in translational biology. Unlike...

Deep learning representations of human Immune Health for precision immunology

The human immune system is composed of [~]30-50 distinct cell types, each of which can exist in different states of activation or differentiation. Ind...

Using binary silver labels in electronic health records-based computable phenotyping algorithms

Gold-standard phenotype labels are often unavailable at scale in electronic health record (EHR) studies because they require manual chart review. Weak...

Causal-Adversarial Probing of Clinical Covariates for Prostate MRI Grading

Deep learning models for prostate MRI-based cancer grading may encode clinical covariates that either reflect useful disease-related signal or non-gen...

Multimodal Assessment of Pancreatic Cancer Resectability Using Deep Learning

Accurate determination of pancreatic ductal adenocarcinoma (PDAC) resectability relies on evaluating how the tumor interacts with major peripancreatic...

From Current-Wave to Longitudinal Risk Prediction: A Leakage-Aware Stacked Ensemble Framework for Adolescent Substance Use Using the ABCD Study

Adolescent use of alcohol, nicotine, and marijuana remains a major public health concern in the United States. Early identification of youth at elevat...

Assessment of Zero-Shot Large Language Model (LLM) Assisted Clinical Trial Matching Processes: A Metastatic Cancer Use Case

Introduction: For oncology patients with limited treatment options, clinical trials may be a critical lifesaving pathway. Identifying relevant trials,...

Algorithmic implementation of pancreatic cancer staging guidelines: comparison with a retrieval-augmented large language model

Purpose: To implement a comprehensive knowledge-based algorithm (KBA) for pancreatic cancer staging based on the current Japanese guidelines and to ev...

Prediction of post-operative delirium with machine learning in abdominal surgery with comorbidity indices and laboratory values

Background: Postoperative delirium (POD) is a complication associated with most types of surgery, and is associated with a number of detrimental effec...