Results 81 to 90 of about 415,817 (366)

STUDIES IN PANCREATIC DISEASE [PDF]

Archives of Internal Medicine, 1915
PART I.—DUODENAL CONTENT ANALYSES AS AN INDEX OF DISEASE, AND FUNCTIONAL ACTIVITY OF THE PANCREAS A reliable method for ascertaining the functional activity of the pancreas, has been eagerly sought for the last few decades, in fact since the time that Kuntzman, Richard Bright and Claude Bernard first called attention to this gland as a possible focus ...
openaire   +2 more sources

Pancreatobiliary diseases:Improving diagnosis and outcomes [PDF]

In the last decades, knowledge on pancreatic diseases has rapidly evolved. The founding of both the Dutch Pancreatitis Study Group and the Dutch Pancreatic Cancer Group (DPCG) have contributed significantly to improve diagnosis and treatment in ...
van Huijgevoort, N.C.M.
core   +2 more sources

Risk factors for suicide in patients with pancreatic ductal adenocarcinoma: A population‐based study

Aging and Cancer
Background Patients diagnosed with pancreatic ductal adenocarcinoma (PDAC) face a notable risk of suicide. However, comprehensive population‐based studies on suicide risk in PDAC patients have been lacking. This study seeks to explore the suicide risk in
Chao Wang, Haoda Chen, Yuanchi Weng, Xiaxing Deng, Weishen Wang, Baiyong Shen   +5 more
doaj   +1 more source

Development of a Novel Evaluation Method for Endoscopic Ultrasound-Guided Fine-Needle Biopsy in Pancreatic Diseases Using Artificial Intelligence

Diagnostics, 2022
We aimed to develop a new artificial intelligence (AI)-based method for evaluating endoscopic ultrasound-guided fine-needle biopsy (EUS-FNB) specimens in pancreatic diseases using deep learning and contrastive learning.
Takuya Ishikawa, Masato Hayakawa, Hirotaka Suzuki, Eizaburo Ohno, Yasuyuki Mizutani, Tadashi Iida, Mitsuhiro Fujishiro, Hiroki Kawashima, Kazuhiro Hotta   +8 more
doaj   +1 more source

Enhancing the prediction of disease outcomes using electronic health records and pretrained deep learning models [PDF]

arXiv, 2022
Question: Can an encoder-decoder architecture pretrained on a large dataset of longitudinal electronic health records improves patient outcome predictions? Findings: In this prognostic study of 6.8 million patients, our denoising sequence-to-sequence prediction model of multiple outcomes outperformed state-of-the-art models scuh pretrained BERT on a ...
arxiv  

KRAS and GNAS mutations in cell‐free DNA and in circulating epithelial cells in patients with intraductal papillary mucinous neoplasms—an observational pilot study

Molecular Oncology, EarlyView.
This study demonstrates that KRAS and GNAS mutations are more prevalent in patients with resected intraductal papillary mucinous neoplasms (IPMN) compared to those under clinical surveillance. GNAS mutations significantly differ between the two patient cohorts, indicating that their absence may serve as a potential biomarker to support conservative ...
Christine Nitschke, Marie Tölle, Philipp Walter, Kira Meißner, Mara Goetz, Jolanthe Kropidlowski, Andreas W. Berger, Jakob R. Izbicki, Felix Nickel, Thilo Hackert, Klaus Pantel, Harriet Wikman, Faik G. Uzunoglu   +12 more
wiley   +1 more source

High CTCF expression mediated by FGD5-AS1/miR-19a-3p axis is associated with immunosuppression and pancreatic cancer progression

Heliyon, 2023
The most common reason for cancer-related death globally is predicted to be pancreatic cancer (PC), one of the deadliest cancers. The CCCTC-binding factor (CTCF) regulates the three-dimensional structure of chromatin, was reported to be highly regulated ...
Yihao Liu, Wenxin Qi, Jingxin Yin, Xirui He, Songqi Duan, Haili Bao, Chen Li, Minmin Shi, Jiao Wang, Shaohua Song   +9 more
doaj  

Cellular liquid biopsy provides unique chances for disease monitoring, preclinical model generation and therapy adjustment in rare salivary gland cancer patients

Molecular Oncology, EarlyView.
We quantified and cultured circulating tumor cells (CTCs) of 62 patients with various cancer types and generated CTC‐derived tumoroid models from two salivary gland cancer patients. Cellular liquid biopsy‐derived information enabled molecular genetic assessment of systemic disease heterogeneity and functional testing for therapy selection in both ...
Nataša Stojanović Gužvić, Florian Lüke, Steffi Treitschke, Andrea Coluccio, Martin Hoffmann, Giancarlo Feliciello, Adithi Ravikumar Varadarajan, Xin Lu, Kathrin Weidele, Catherine Botteron, Silvia Materna–Reichelt, Felix Keil, Katja Evert, Florian Weber, Thomas Schamberger, Michael Althammer, Jirka Grosse, Dirk Hellwig, Christian Schulz, Stephan Seitz, Peter Ugocsai, Anke Schlenska‐Lange, Roman Mayr, Ulrich Kaiser, Wolfgang Dietmaier, Bernhard Polzer, Jens Warfsmann, Kamran Honarnejad, Tobias Pukrop, Daniel Heudobler, Christoph A. Klein, Christian Werno   +31 more
wiley   +1 more source

Predicting the risk of pancreatic cancer with a CT-based ensemble AI algorithm [PDF]

arXiv, 2020
Objectives: Pancreatic cancer is a lethal disease, hard to diagnose and usually results in poor prognosis and high mortality. Developing an artificial intelligence (AI) algorithm to accurately and universally predict the early cancer risk of all kinds of pancreatic cancer is extremely important.
arxiv  

Pancreatitis and atypical Kawasaki disease [PDF]

Pediatric Rheumatology, 2010
Abstract We report on pediatric patient with clinical and laboratory evidence of pancreatitis at onset of atypical Kawasaki disease (KD). In KD pancreatic inflammation was described previously, but clinical pancreatitis was rarely reported and its true incidence is unknown. In febrile pediatric patients suspected to have KD, but not
Zoran Paunovic, Goran Ristic, Dragan Prokic, Srdjan Pasic   +3 more
openaire   +4 more sources