Pancreatic Diseases

Uncoupling Type I Interferon Benefits From Inflammatory Toxicity: Transformer-Prioritized Precision Agonists for Potent and Safer Cancer Immunotherapy.

Paclitaxel (PTX) chemotherapy is constrained by an "immunomodulatory paradox," where antitumor Type I Interferon (IFN-I) activation is coupled with detrimental pro-inflammatory cascades. To address this challenge, we developed Deep Learning for Innate Immunity Modulatory Potential (DLINP), a Transformer-based framework designed to identify precision immunomodulators that uncouple IFN-I induction f...

Multidimensional 5-hydroxymethylcytosine features in cell-free DNA enable the detection, staging and subtyping of pancreatic ductal adenocarcinoma.

Pancreatic ductal adenocarcinoma (PDAC) is a highly lethal malignant cancer with limited biomarkers for early detection and disease stratification. Here, we investigated whether multidimensional 5-hydroxymethylcytosine (5hmC) features in plasma cell-free DNA (cfDNA) could support the noninvasive detection, staging, and subtyping of PDAC. We performed a genome-wide cfDNA 5hmC analysis in 274 indivi...

Neoantigen in cancer immunotherapy: mechanism, therapeutic strategies and future perspectives.

Neoantigens are tumor-specific antigens resulting from genetic, transcriptomic, and proteomic changes, making them a promising avenue for personalized...

Precision Pancreatic Cancer Care: From Early Detection to Adaptive Precision Oncology.

BACKGROUND: Pancreatic ductal adenocarcinoma (PDAC) remains highly lethal, and genome-centric precision oncology shows limited impact due to low actio...

Identifying risk factors for marijuana use among male high school students using machine learning: Implications for public health.

OBJECTIVES: To identify risk and protective factors associated with lifetime marijuana use among male high school students through an interpretable ma...

Image Quality of 1.5 T MRI Using Dual-Type Deep Learning Reconstruction for Pancreatic Cystic Lesions: An Exploratory Comparison With Conventional 3 T MRI Without Deep Learning Reconstruction.

BACKGROUND: Dual-type deep learning reconstruction (DLR) may improve the pancreatic MRI image quality; however, the effects of different DLR strengths...

Bile extracellular vesicles for early cholangiocarcinoma detection in primary sclerosing cholangitis.

BACKGROUND & AIMS: Cholangiocarcinoma (CCA) is a major complication of primary sclerosing cholangitis (PSC), with a 20-year incidence of ∼15%. Early d...

Evaluating cellular communication sensing for lapse risk prediction during early recovery from alcohol use disorder: A longitudinal observational study.

Alcohol Use Disorder (AUD) is a chronic, relapsing condition, and identifying periods of elevated lapse risk remains a major challenge in supporting r...

Advanced gene editing technologies for oncology mechanisms, applications, and clinical implementation.

Advanced gene editing tools have transformed oncology by facilitating precise molecular therapies aimed at the hereditary basis of cancer. This thorou...

Development and validation of a machine learning-based model for identifying liver fibrosis in individuals with prior Schistosoma japonicum infection: a step toward precision management.

BACKGROUND: Liver fibrosis caused by Schistosoma japonicum may continue to progress even following successful praziquantel chemotherapy. Although live...

Biofabrication and artificial intelligence strategies for investigating solid- and fluid-pressure mechanobiology in pancreatic ductal adenocarcinoma.

Pancreatic ductal adenocarcinoma (PDAC) is shaped by a mechanically abnormal tumor microenvironment (TME) in which dysregulated mechanotransduction pr...

Linking bisphenol a exposure to pancreatic cancer: Evidence from population epidemiology, multi-omics screening, and cellular validation.

Bisphenol A (BPA) is a ubiquitous environmental endocrine disruptor; its association with pancreatic cancer and its potential mechanisms of action rem...

Influence of artificial intelligence on the performance of endosonographers in detection of solid pancreatic tumors: a tandem randomized video study.

BACKGROUND: This study aimed to evaluate the influence of a pre-commercial artificial intelligence (AI)-based software system on endosonographers' per...

Integrating artificial intelligence and bioimpedance spectroscopy for enhanced pancreatic disease diagnosis.

The purpose of this study is to develop bioimpedance spectroscopy methods for diagnosing pancreatic diseases. We developed a descriptor approach using...

A multi-scale fusion model based on multi-phase contrast-enhanced CT for predicting pancreatic cancer resectability.

Purpose Develop a multi-scale fusion model (MSFM) based on multi-phase contrast-enhanced computed tomography (CECT) to predict pancreatic cancer (PC) ...

Beyond Critical View of Safety: New Predictors of Objective Assessment of Critical View of Safety in Laparoscopic cholecystectomy-a Prospective Cohort Study.

BackgroundLaparoscopic cholecystectomy (LC) has revolutionised gallstone management. However, the incidence of bile duct injury (BDI) remains unchange...

Development of a deep learning model for detecting and measuring gallstones on computed tomography images.

PURPOSE: To develop a deep learning model for the automated detection and measurement of gallstones on non-contrast CT images. METHODS: A total of 3,2...

Construction and validation of a liquid neural network-based prediction model and bedside tool for spontaneous passage of common bile duct stones.

BACKGROUND: To construct and externally validate a liquid neural network (LNN)-based risk prediction model for spontaneous passage of common bile duct...

An unsupervised machine learning analysis of biopsychosocial characteristics and treatment outcome of alcohol use disorder.

Background: Alcohol Use Disorder is a heterogeneous condition where standard severity measures often fail to predict individual treatment responses. P...

Interpretable machine learning for gallstone risk prediction: an ensemble stacking approach with SHAP analysis.

Gallstone disease is a gastrointestinal condition requiring accessible, low-cost screening tools. We developed an interpretable ensemble stacking mode...