Pancreatic Diseases

Evaluating deep learning models for pancreatic cancer diagnosis.

Pancreatic cancer is a highly aggressive and often fatal disease, with early detection being a key f...

Advancement in peptide-based therapeutics for the treatment of type 2 diabetes mellitus: current progress and future prospects.

Diabetes is a chronic medical disorder caused by insufficient production of the hormone insulin by t...

Generative AI Uncovers Novel Chrebp/Txnip Axis Inhibitors with Potential Anti-inflammatory Activity.

Type 2 diabetes is driven in part by metabolic inflammation, where activation of the Chrebp/Txnip ax...

Evaluation of Generative Artificial Intelligence Safeguards Against the Creation of Images and Videos Harmful to Public Health.

OBJECTIVES: As generative artificial intelligence (AI) continues to advance, an environment that lac...

Endoscopic Ultrasound for the Management of Pancreatic Neuroendocrine Tumors: Diagnosis, Treatment, and Future Perspectives.

Pancreatic neuroendocrine tumors (PanNETs) are increasingly diagnosed, reflecting greater clinical a...

Dissecting burden of alcoholic cardiomyopathy: age-period-cohort analysis from the global burden of disease study 2019.

BACKGROUND: Alcoholic cardiomyopathy (ACM) is a major cause of cardiovascular morbidity and mortalit...

The neurobiological cravings signature (NCS) as a predictive neuromarker of clinical outcomes in alcohol use disorder.

The Neural Craving Signature (NCS), a machine learning derived neuroimaging biomarker, differentiate...

Using artificial intelligence (CognoSpeak™) in memory assessments: a GP interview study.

BACKGROUND: The memory assessment pathway (MAP) for people with subjective memory deficits (dementia...

A Bilayer Hydrogel Sensor for Elderly Oriented Human-Machine Interaction.

As the population ages, the need for accessible and effortless human-machine interaction (HMI) syste...

Utility of breath-hold half-Fourier single-shot turbo spin-echo with deep learning-based reconstruction for acquiring fat-suppressed T2-weighted images of the pancreas.

PURPOSE: To determine the best technique for acquiring fat-suppressed T2-weighted images (FS-T2WI) o...

Training for the unknown: Artificial intelligence-driven early detection of pancreatic cancer.

AI-Driven Patient Screening for Clinical Trials in Pancreatic Cancer: The PANCR-AI Pilot Retrospective Comparative Study.

BACKGROUND: Screening for clinical trials is challenging for clinicians due to its time-consuming an...

Accuracy of automated 3D biliary tract reconstruction compared to ERCP to assess Bismuth-Corlette classification in patients with perihilar cholangiocarcinoma.

INTRODUCTION: Accurate descriptions of the extent of disease in intrahepatic bile ducts are essentia...

Exploring chemistry and catalysis by biasing skewed distributions via deep learning.

The automated discovery of chemical and catalytic reactions remains a major challenge in computation...

Prediction of Postoperative Pancreatic Fistula Occurrence by the Pancreatic Stump Shape and Remnant Pancreatic Volume Measured Using AI-Guided Three-Dimensional Simulation.

BACKGROUND: When three-dimensional computer graphics (3DCG) images are used, artificial intelligence...

[Dual role of tea consumption in gastrointestinal disease risks: analysis using a risk prediction model integrating interpretable machine learning and large language model].

OBJECTIVES: To explore the correlation of tea consumption with risks of gastrointestinal diseases us...

Identifying a better-prognosis pancreatic cancer from its benign inflammatory mimic: a machine learning approach with contrast-enhanced ultrasound for early intervention.

PURPOSE: Hypervascular pancreatic ductal adenocarcinoma (PDAC) and mass-forming pancreatitis (MFP) r...

Neoadjuvant Radiation is Causally Linked to Increased Operative Time and Perioperative Blood Transfusion in Pancreatic Ductal Adenocarcinoma.

INTRODUCTION: Blood transfusion in patients undergoing surgical resection for pancreatic ductal aden...

Evaluating the role of the main pancreatic duct in intraductal papillary mucinous neoplasm grading: A multi-structure radiomics-based machine learning approach.

PURPOSE: The purpose of this study was to evaluate the contribution of radiomics features extracted ...

Radiomics for early detection of pancreatic cancer: a systematic review and meta-analysis.

BACKGROUND: Pancreatic ductal adenocarcinoma (PDAC) is one of the lethal malignancies, in which accu...

Deep-Learning Tool ScVital Enables Species-Agnostic Integration of Cancer Cell States.

UNLABELLED: Genetically engineered mouse models (GEMM) of cancer are useful for exploring the develo...