Pancreatic Diseases

Oxygen 1s photoelectron spectroscopy of gaseous alcohols and the σ-inductive properties of alkyl groups.

This study presents a comprehensive investigation of alcohol molecules in the gas phase using oxygen...

Benchmarking docking and ML re-scoring screening performance for KRAS G12D in pancreatic cancer.

The KRAS G12D mutation is commonly found in pancreatic cancer and is integral to the cell signaling ...

Elucidating the pathway activity and prognostic significance of diverse regulatory cell death patterns in pancreatic ductal adenocarcinoma.

Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive malignancy with a five-year survival ...

Pan-cancer analysis identifies immunoproteasome as the predominant survival-associated component of antigen processing machinery.

Neoantigens are critical targets for cancer immunotherapy, yet the relationship between experimental...

[Computational medicine empowers multi-dimensional diagnosis and treatment of pancreatic cancer].

Due to its high genomic heterogeneity and dense desmoplastic microenvironment, traditional diagnosis...

[Arterial variations and management strategies in pancreatic surgery].

The pancreas is local in the retroperitoneal space,in close proximity to critical blood vessels such...

When Wrong Answers Matter: Consequence-Weighted Evaluation of Large Language Models for ERCP Triage.

BackgroundLarge language models (LLMs) increasingly generate clinical recommendations, but their abi...

Comment on "Toward Timely Diagnosis of Pancreatic Cancer: Revolutionizing Early Detection Through Genomics, Artificial Intelligence, and Noninvasive Biomarkers".

A bibliometric analysis of research trends and future directions in early detection of pancreatic cancer.

BACKGROUND: Research on the early detection of pancreatic cancer has grown rapidly in recent years; ...

An interpretable XGboost algorithm for predicting 30-day mortality in acute pancreatitis using routine biomarkers.

OBJECTIVE: To develop and validate a machine learning (ML) algorithm for predicting 30-day mortality...

A machine learning-based screening tool for classifying post-traumatic stress disorder in firefighters: Firefighter Latent Risk Evaluation (FLARE).

BACKGROUND: The prevalence of post-traumatic stress disorder (PTSD) among South Korean firefighters ...

FEDI-CODE: A federated and causally-informed framework for dementia risk prediction using multi-site patient data.

Early detection of dementia is critical for timely intervention and disease management, yet it remai...

PANTHER Challenge Report: Cross-Domain Pancreatic Tumor Segmentation in Magnetic Resonance Imaging.

Accurate delineation of pancreatic tumors on Magnetic Resonance Imaging (MRI) is important for diagn...

Quantitative Detection of Entotic Cell-In-Cell Structures Using Deformable Segmentation and Deep Learning.

Cell-in-cell (CIC) structures are among the most intriguing cellular phenomena occasionally observed...

Semi-automatic mask guidance enhances 3D tumor segmentation in medical imaging.

BACKGROUND: Accurate tumor segmentation is essential for early diagnosis, treatment planning, and pr...

Development of Data-Driven Models for Just-in-Time Digital Self-Management Advice to Improve Physical Functioning in Hip and Knee Osteoarthritis: Protocol for the e-cOAch Cross-Over Study.

BACKGROUND: Clinical guidelines recommend a stepped-care strategy for patients with hip and knee ost...

Evaluating machine learning algorithms at predicting developmental trajectories using sequential dataset truncation of voluntary alcohol consumption in adolescent mice.

BACKGROUND: Adolescent alcohol consumption is a known risk factor for developing alcohol use disorde...

A HRH1-YAP1 feedback loop drives pancreatic cancer progression and predicts therapeutic response.

Pancreatic ductal adenocarcinoma (PDAC) is a highly lethal malignancy with a dismal prognosis, chara...

Integrating 2.5D multi-modal CT imaging with serum triglycerides for early risk stratification in hypertriglyceridemia-induced acute pancreatitis: A multicenter study.

OBJECTIVES: To develop and externally validate a clinical-radiological framework that fuses 2.5D dee...

Establishing discard criteria for lead aprons using deep learning-based quantification of defect area on X-ray fluoroscopic video.

To establish an objective discard framework for lead aprons, defect areas quantified from X-ray fluo...

Pancreatic organoids and organoid-on-a-chip platforms: from disease modeling to precision therapy.

BACKGROUND: Pancreatic diseases, including diabetes, pancreatic ductal adenocarcinoma, pancreatitis,...