Pancreatic Diseases

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 worldwide. Itsstratified into metabolic dysfunction-associated steatotic liver disease (MASLD), metabolic dysfunction and alcohol-associated liver disease (MetALD), and alcohol-associated liver disease (ALD) based on self-reported alcohol use remains a challenge. We developed the Steatosis Liver Index (S...

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

Pancreatic ductal adenocarcinoma (PDAC) remains a formidable malignancy characterized by late diagnosis, high recurrence rates, and pronounced chemoresistance. While nanoparticle-based drug delivery systems (NDDS) offer theoretical advantages over conventional therapies, their clinical translation in PDAC has been severely limited. The dense desmoplastic stroma, elevated interstitial fluid pressur...

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) among older adults remains poorly characterised. We ...

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 processes. Their importance has motivated numerous com...

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 reliable diagnostic biomarkers. Through integrativ...

Post-traumatic Psychopathology and Cardiovascular Risk: A Danish Case-Control Study of Sex-Specific Associations.

BACKGROUND: There is increasing recognition that trauma exposure and related psychiatric consequences predict cardiovascular disease risk. However, mo...

An Exosomal Signature for Preoperative Detection of Occult Liver Metastasis in Pancreatic Cancer.

IMPORTANCE: Early liver metastasis (early-LiM) after pancreatectomy represents an aggressive biological phenotype of pancreatic ductal adenocarcinoma ...

From dysbiosis to precision oncology: translational role of the microbiome in gastrointestinal cancer.

Gastrointestinal (GI) cancers, including colorectal, gastric, pancreatic, hepatocellular, and esophageal malignancies, remain a leading cause of cance...

An Alternative Approach for Detecting Problematic Alcohol Use: Developing the Student Alcohol Risk Assessment Scale-15 Using AI-Assisted Machine Learning.

BACKGROUND/AIM: Risky alcohol use is common among university students and negatively impacts physical and psychosocial health. Current screening instr...

Development of a Prognostic Survival Risk Score for Lung Cancer Patients With Type 2 Diabetes Mellitus: A Territory-Wide Retrospective Cohort Study.

BACKGROUND: Lung cancer is a leading cause of cancer-related mortality, and its prognosis is often affected by comorbidities such as type 2 diabetes m...

Artificial Intelligence-Estimated Intrapancreatic Fat and Its Relationship to Familial and Germline Pancreatic Cancer Risk.

BACKGROUND: Family history of pancreatic cancer (PC), pathogenic germline variants (PGVs), and increased intrapancreatic fat (IPF) are individually as...

Multi-modal direct LINAC parameter prediction for pancreatic VMAT: An optimization-free approach.

BACKGROUND: Pancreatic cancer Volumetric Modulated Arc Therapy (VMAT) planning presents a significant dosimetric challenge due to the high-dose gradie...

A data-driven approach to hepatitis C forecasting using machine learning and epidemiological models.

The hepatitis C virus is a significant global health concern and a major cause of chronic liver disease. Therefore, developing a mathematical model is...

Glucose-to-albumin ratio and mortality in ICU patients with acute pancreatitis.

OBJECTIVES: Acute pancreatitis (AP) carries a high mortality risk in ICU patients. The glucose-to-albumin ratio (GAR), reflecting metabolic stress and...

Artificial intelligence in Latin American hepatology: current evidence, implementation barriers, and strategic priorities.

Chronic liver diseases are an increasing cause of morbidity and mortality in Latin America, driven by the convergence of alcohol and metabolic-associa...

Risk Assessment in MASLD and MetALD: Current Approaches and Future Directions.

Metabolic dysfunction-associated steatotic liver disease (MASLD) and metabolic dysfunction and alcohol-related liver disease (MetALD) exist on a conti...

Detection of Pancreatic Cancer via Specific Metabolite Markers: A Metabolomics Approach.

BACKGROUND AND AIMS: Pancreatic ductal adenocarcinoma (PDAC) remains one of the most lethal malignancies worldwide because most patients are diagnosed...

Clinical evaluation of nnU-Net-based segmentation for enhanced MRCP maximum intensity projection visualization.

PURPOSE: To evaluate whether deep learning-based segmentation can improve visualization and diagnostic interpretation of MR cholangiopancreatography (...

Evaluation of the physical and radiological properties of different Fricke gel formulations as water-equivalent materials and biological tissues.

Fricke gel dosimeters, also known as hydrogels, have emerged as attractive tools in clinical dosimetry due to the requirements of quality assurance pr...

Predicting Synchronous Liver Metastasis in Pancreatic Cancer Using CT Radiomics and Clinical Features: A Machine Learning Approach.

RATIONALE AND OBJECTIVES: To address the challenge of preoperative prediction of synchronous liver metastasis (LM) in pancreatic cancer (PC), we devel...