Latest AI and machine learning research in pancreatic diseases for healthcare professionals.
Min, Schweizer, and colleagues use artificial intelligence-powered deep visual proteomics to generate a spatial proteomic atlas of pancreatic cancer precursor evolution, revealing that major metabolic and inflammatory reprogramming occurs long before overt histologic transformation. More broadly, the study highlights the emerging potential of spatial proteomics and multiomics to bridge histopathol...
Pancreatic ductal adenocarcinoma (PDAC) remains one of the most lethal cancers, with survival rates influenced by a variety of factors, including early diagnosis, tumor profile, treatment regimen, and treatment response. The development of PDAC prognostic models is often compromised by incomplete clinical records that need to cover imaging, pathology, surgery, and treatment workflows. We propose a...
BACKGROUND: We have developed gastric cancer/gastrectomy artificial intelligence (gAI) that leverages the tacit knowledge of experienced surgeons to v...
Protein-protein interactions (PPIs) are shaped by evolutionary pressures that fine-tune binding affinities and drive the epistatic relationships that ...
Alcohol use disorder (AUD) research faces significant challenges in capturing individual heterogeneity and complex temporal patterns in drinking behav...
OBJECTIVES: To develop and validate APEX-NET for early diagnosis and severity stratification of acute pancreatitis (AP) using non-contrast CT (NCCT), ...
Digital Imaging and Communications in Medicine (DICOM) viewers are essential tools in clinical practice, yet established open-source macOS viewers suc...
Of 269 pancreatic cancer multidisciplinary team cases, 125 complete structured cases were evaluated. The chat interface model labeled ChatGPT-5.2 matc...
Endoscopic retrograde cholangiopancreatography (ERCP)-based tissue acquisition is the cornerstone for assessment of suspected malignant biliary strict...
Semi-supervised learning can reduce the dependence on large-scale labeled data in 3D medical image segmentation.In this work, we propose a new Dual Cr...
This study presents a comprehensive investigation of alcohol molecules in the gas phase using oxygen 1s X-ray photoelectron spectroscopy (O1s XPS), co...
The KRAS G12D mutation is commonly found in pancreatic cancer and is integral to the cell signaling pathway, making it a critical target for drug deve...
Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive malignancy with a five-year survival rate below 10%. Regulatory cell death (RCD) plays ...
Neoantigens are critical targets for cancer immunotherapy, yet the relationship between experimentally validated neoantigen burden and antigen process...
Due to its high genomic heterogeneity and dense desmoplastic microenvironment, traditional diagnosis and treatment for pancreatic ductal adenocarcinom...
The pancreas is local in the retroperitoneal space,in close proximity to critical blood vessels such as celiac trunk, superior mesenteric artery, hepa...
BackgroundLarge language models (LLMs) increasingly generate clinical recommendations, but their ability to translate biliary guidelines into safe pro...
BACKGROUND: Research on the early detection of pancreatic cancer has grown rapidly in recent years; however, existing bibliometric studies in this fie...
OBJECTIVE: To develop and validate a machine learning (ML) algorithm for predicting 30-day mortality in adult patients with acute pancreatitis (AP) us...