Pancreatic Diseases

Artificial intelligence-assisted endoscopic ultrasonography for the detection of a small T1 pancreatic ductal adenocarcinoma in a difficult-to-puncture location.

Decoding spatiotemporal fibrotic and cellular immunosuppression of therapeutic T cells in live pancreatic ductal adenocarcinoma.

Pancreatic ductal adenocarcinoma (PDA) is profoundly immunosuppressive. To help define this behavior...

Deep Learning Segmentation of Abdominal Organs Across Ultrasound, MRI, and CT: A Scoping Review of Modality-Specific Approaches and the Emerging Role of Foundation Models and LLM-Based Agents.

Segmentation of the liver, kidneys, and pancreas underpins volumetry, treatment planning, and diseas...

Multifunctional Nanovaccine-Radiotherapy Synergy Drives Anti-Tumor Immunity via Multi-Cascade Cell Death for Pancreatic Cancer Therapy.

Pancreatic adenocarcinoma (PAAD) is an immunosuppressive malignancy refractory to radiotherapy and i...

Clinical heterogeneity mapping and machine learning-based prediction of recurrence in gallstone disease: a retrospective cohort study of 9,939 patients.

BACKGROUND: Gallstone disease constitutes a substantial global health burden, characterized by notab...

Real-time monitoring of CAR T cell dynamics in tumor patient-derived organoids using the OrganoIDNet algorithm.

BACKGROUND: Patient-derived organoids (PDOs) provide physiologically relevant 3D tumor models for pr...

Dual-Network PVA-PNIPAM Hydrogel for Decoupled Strain-Temperature Sensing and Intelligent Motion Recognition.

Multifunctional hydrogel-based sensors capable of integrating mechanical adaptability, stable conduc...

Potential applications of artificial intelligence-assisted endoscopic ultrasound in pancreatic disease.

Diagnosing pancreatic diseases can be challenging, even when using advanced tools such as endoscopic...

Automated Extraction of Postoperative Cancer Recurrence and Metastasis From Computed Tomography (CT) Reports: Semisupervised Deep Learning Study.

BACKGROUND: Perioperative computed tomography (CT) imaging is essential for detecting postoperative ...

Identifying GSTM1, SDC1, and VTN as key biomarkers and therapeutic targets for NETs in acute pancreatitis based on bioinformatics analysis and experiments.

Acute pancreatitis(AP) is a severe inflammatory disease associated with high morbidity and mortality...

Wavelet analysis in biomedical research: A versatile tool for multiscale signal characterization and functional connectivity analysis.

Biological systems exhibit oscillatory dynamics across spatial and temporal scales. From intracellul...

Forecasting alcohol lapse risk up to two weeks in advance using time-lagged machine learning models.

Alcohol use disorder is a chronic, relapsing condition. Individuals must monitor risk and take proac...

Identifying therapeutic target genes for acute pancreatitis based on the druggable genes.

To screen therapeutic target genes for AP, MR analysis was conducted, followed by DEG screening, nom...

Composition-Tuned Hydrogel Iontronic Patch With a Shared Electrode for Dual-Mode Pressure and Moisture-Electric Sensing in Wearable Health Monitoring.

Dual-mode wearable patches usually stack discrete sensing and energy modules made from dissimilar ma...

Edge-Hydroxylated Boron Nitride Nanosheets for Simultaneous Improvement of Thermal and Mechanical Properties of Composite Films.

With the rapid evolution of high-power electronics driven by advanced communication technologies and...

A multi-stage prospective study evaluates serum metabolomic signatures for the differential diagnosis and prognostic stratification of PDAC.

BACKGROUND: Pancreatic ductal adenocarcinoma (PDAC) lacks biomarkers for accurate diagnosis and prog...

Steatosis liver index: A validated machine learning model using clinical data distinguishes steatotic liver disease phenotypes.

INTRODUCTION AND OBJECTIVES: Steatotic liver disease (SLD) is a leading cause of liver disease world...

AI-Driven Rational Design of Nanotherapeutics for Pancreatic Ductal Adenocarcinoma.

Pancreatic ductal adenocarcinoma (PDAC) remains a formidable malignancy characterized by late diagno...

Spatiotemporal co-occurrence patterns and related risk factors of esophageal and lip and oral cavity cancers among older adults across 203 countries and territories: a machine learning-driven systematic analysis.

BACKGROUND: The country-level co-burden of esophageal cancer and lip and oral cavity cancer (LOC) am...

Ab Initio Modeling of Aqueous Methanol Mixtures at DFT-SCAN Level Using Machine Learning Interatomic Potentials.

Methanol-water mixtures find use in many applications, particularly catalytic energy conversion proc...

CLDN18 as a novel junctional biomarker enhancing multi-gene classification of pancreatic cancer.

Pancreatic adenocarcinoma (PAAD) remains one of the most lethal cancers, largely due to the lack of ...