Pancreatic Diseases

Classifying Diabetic and Healthy β-Cells in Type 2 Diabetes Using Machine Learning on Single-Cell RNA Sequencing Data.

Diabetes is a chronic metabolic disorder characterized by elevated blood glucose levels due to impai...

Portal vein resection in pancreatic cancer: from technical feasibility to biological patient selection.

INTRODUCTION: Portal vein resection (PVR) has become an established component of pancreatic cancer s...

Luteolin reduces glucose uptake and malignant phenotypes in pancreatic ductal adenocarcinoma cells: an integrated bioinformatics and in vitro study.

Pancreatic ductal adenocarcinoma (PDAC) exhibits marked metabolic plasticity, but the effects of lut...

Personalized cancer vaccines: bridging immune-oncology and precision medicine for advanced therapeutics.

Despite advancements in therapeutic cancer vaccines, clinical translation has been hindered by limit...

Reading Between the Voxels: Artificial Intelligence Detection of Occult Pancreatic Cancer.

Thermodynamics and Kinetics of CO2 Sorption and Water Remediation on Waste Polyurethane Foam-Derived Hybrids.

Converting waste into dual-function materials for both atmospheric and aqueous remediation remains a...

Natural Language Processing to Identify Substance Use in Electronic Health Records: A Scoping Review.

BACKGROUND: This scoping review aimed to characterize natural language processing (NLP) techniques d...

Eco-benign synthesis of spent vegetable oil-based biodiesel using thermally modified nanocrystalline snail shell catalysts: experimental, modeling and computational studies.

The quest to mitigate the critical challenges in the global energy landscape and carbon emission cri...

AI-driven tumor heterogeneity quantification and survival prediction in pancreatic ductal adenocarcinoma.

Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal malignancies worldwide, and accura...

Exosomes in cancer drug resistance: dual roles in therapy failure and emerging precision therapeutics.

Exosomes play a key role in cancer, functioning both as drivers of drug resistance and as tools for ...

A clinically interpretable model for predicting pharyngocutaneous fistula after total laryngectomy.

BACKGROUND: Pharyngocutaneous fistula (PCF) is a frequent complication following total laryngectomy....

Device-measured movement behaviours and cancer incidence in a population sample of UK adults: Dual 24-hour analyses of postural and intensity compositions.

BACKGROUND: Insufficient physical activity (PA) and excessive sedentary behaviour is associated with...

Interpretable machine-learning survival prediction of breast cancer prognosis from lifestyle factors: evidence from UK biobank.

BACKGROUND: Understanding how lifestyle habits influence breast cancer survival is crucial for impro...

Membrane Fusion-Assisted Laser Desorption/Ionization Mass Spectrometry for In Situ Extracellular Vesicle Metabolic Fingerprinting.

Metabolites packaged within extracellular vesicles (EVs) are increasingly recognized for their role ...

Machine Learning-Guided Near-Infrared Laser Processing for Precise Geometry Control in Microneedles with Downstream microLED-Triggered Photothermal Functionality.

Transdermal drug delivery and sensing provide non-invasive routes for localized therapy and biomarke...

MoCaPS: a machine learning model for stratification of cancer-associated cachexia based on blood biomarkers.

Identification of minimally invasive biomarkers of cancer-associated cachexia may help to recognize ...

Deep Learning Predicts Imminent Tumor Progression in Advanced Pancreatic Adenocarcinoma Using Serial CT Scans During Chemotherapy.

Advanced pancreatic ductal adenocarcinoma (PDAC) often progresses rapidly during chemotherapy despit...

Identifying Potential Exosome-Derived mRNA Biomarkers for Diagnosis and Prediction of Breast Cancer Using Machine-Learning Approaches.

INTRODUCTION: Breast cancer remains a major global health burden, underscoring the urgent need for r...

A prospective development and evaluation of a 2D convolutional neural network-based auto-segmentation model for cervical cancer radiotherapy.

BACKGROUND: Accurate delineation of target volumes and organs at risk (OAR) is essential in radiothe...

A framework for assessing algorithmic discrimination risks in training data: a case of pediatric type 1 diabetes.

OBJECTIVES: To develop a generalizable framework for identifying algorithmic discrimination risks ar...

A bio-inspired, soft-bodied jumper.

Some species of fly larvae and nematodes achieve rapid locomotion by forming loops with their bodies...