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Related papers: Prognostic Biomarker Identification for Pancreatic…

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Pancreatic cancer (PC) is the fourth leading cause of cancer death in the United States due to its five-year survival rate of 10%. Late diagnosis, affiliated with the asymptomatic nature in early stages and the location of the cancer with…

Quantitative Methods · Quantitative Biology 2020-12-15 Siya Goel , Clark Gedney , Jean Honorio

Pancreatic cancer is one of the global leading causes of cancer-related deaths. Despite the success of Deep Learning in computer-aided diagnosis and detection (CAD) methods, little attention has been paid to the detection of Pancreatic…

Computer Vision and Pattern Recognition · Computer Science 2022-08-09 Christiaan G. A. Viviers , Mark Ramaekers , Peter H. N. de With , Dimitrios Mavroeidis , Joost Nederend , Misha Luyer , Fons van der Sommen

Gallbladder cancer (GBC) is the most frequent cause of disease among biliary tract neoplasms. Identifying the molecular mechanisms and biomarkers linked to GBC progression has been a significant challenge in scientific research. Few recent…

Background: The aim of this study is to use bioinformatics to discover the biomarkers associated with patients with Pancreatic Ductal Adenocarcinoma(PDAC). Material and Methods: GSE28735, GSE15471, and GSE62452 are gene microarray datasets…

Molecular Networks · Quantitative Biology 2023-03-28 Atefeh Akbarnia Dafrazi , Tahmineh Mehrabi , Fatemeh Malekinejad

The discovery of important biomarkers is a significant step towards understanding the molecular mechanisms of carcinogenesis; enabling accurate diagnosis for, and prognosis of, a certain cancer type. Before recommending any diagnosis,…

Quantitative Methods · Quantitative Biology 2019-09-11 Md. Rezaul Karim , Michael Cochez , Oya Beyan , Stefan Decker , Christoph Lange

Pancreatic ductal adenocarcinoma (PDAC) is one of the deadliest cancers, and early detection remains a major clinical challenge due to the absence of specific symptoms and reliable biomarkers. In this work, we propose a new multimodal…

Prediction of patient survival using high-dimensional multi-omics data requires systematic feature selection methods that ensure predictive performance, sparsity, and reliability for prognostic biomarker discovery. We developed a hybrid…

Genomics · Quantitative Biology 2026-04-15 John Zobolas , Anne-Marie George , Alberto López , Sebastian Fischer , Marc Becker , Tero Aittokallio

Pacreatic ductal adenocarcinoma (PDAC) remains one of the most lethal forms of cancer, with a five-year survival rate below 10% primarily due to late detection. This research develops and validates a deep learning framework for early PDAC…

Computer Vision and Pattern Recognition · Computer Science 2025-09-12 Dennis Slobodzian , Amir Kordijazi

Cancer is a term that denotes a group of diseases caused by abnormal growth of cells that can spread in different parts of the body. According to the World Health Organization (WHO), cancer is the second major cause of death after…

Machine Learning · Computer Science 2023-01-31 Fadi Alharbi , Aleksandar Vakanski

Objectives Lung squamous cell carcinoma (LUSC) often diagnosed as advanced with poor prognosis. The mechanisms of its pathogenesis and prognosis require urgent elucidation. This study was performed to screen potential biomarkers related to…

Genomics · Quantitative Biology 2019-11-14 Miaomiao Gao , Weikaixin Kong , Zhuo Huang , Zhengwei Xie

Earlier detection of pancreatic cancer is key to enabling wider access to curative treatment and reducing cancer deaths; however, screening is presently not viable. Latent indicators of pathology are evident in an individual's disease and…

Pancreatic ductal adenocarcinoma (PDAC) is a highly lethal cancer in which the tumor-vascular involvement greatly affects the resectability and, thus, overall survival of patients. However, current prognostic prediction methods fail to…

Image and Video Processing · Electrical Eng. & Systems 2023-09-14 Hexin Dong , Jiawen Yao , Yuxing Tang , Mingze Yuan , Yingda Xia , Jian Zhou , Hong Lu , Jingren Zhou , Bin Dong , Le Lu , Li Zhang , Zaiyi Liu , Yu Shi , Ling Zhang

Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal cancers and carries a dismal prognosis. Surgery remains the best chance of a potential cure for patients who are eligible for initial resection of PDAC. However, outcomes…

Image and Video Processing · Electrical Eng. & Systems 2020-08-28 Jiawen Yao , Yu Shi , Le Lu , Jing Xiao , Ling Zhang

BACKGROUND: Breast cancer has emerged as one of the most prevalent cancers among women leading to a high mortality rate. Due to the heterogeneous nature of breast cancer, there is a need to identify differentially expressed genes associated…

Machine Learning · Computer Science 2021-11-30 Sheetal Rajpal , Ankit Rajpal , Manoj Agarwal , Naveen Kumar

Despite the advances in medicine, cancer has remained a formidable challenge. Particularly in the case of pancreatic tumors, characterized by their diversity and late diagnosis, early detection poses a significant challenge crucial for…

Image and Video Processing · Electrical Eng. & Systems 2024-06-06 Reza Babaei , Samuel Cheng , Theresa Thai , Shangqing Zhao

Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive cancer, with most cases diagnosed at stage IV and a five-year overall survival rate below 5%. Early detection and prognosis modeling are crucial for improving patient outcomes…

Machine Learning · Computer Science 2025-04-02 David Le , Ramon Correa-Medero , Amara Tariq , Bhavik Patel , Motoyo Yano , Imon Banerjee

Gene expression can be used to subtype breast cancer with improved prediction of risk of recurrence and treatment responsiveness over that obtained using routine immunohistochemistry (IHC). However, in the clinic, molecular profiling is…

Computer Vision and Pattern Recognition · Computer Science 2023-05-09 Raktim Kumar Mondol , Ewan K. A. Millar , Peter H Graham , Lois Browne , Arcot Sowmya , Erik Meijering

Pancreatic cancer is one of the deadliest types of cancer, with 25% of the diagnosed patients surviving for only one year and 6% of them for five. Computed tomography (CT) screening trials have played a key role in improving early detection…

Computer Vision and Pattern Recognition · Computer Science 2023-02-14 Agapi Davradou

The lethal nature of pancreatic ductal adenocarcinoma (PDAC) calls for early differential diagnosis of pancreatic cysts, which are identified in up to 16% of normal subjects, and some of which may develop into PDAC. Previous computer-aided…

Computer Vision and Pattern Recognition · Computer Science 2018-06-20 Hongwei Li , Kanru Lin , Maximilian Reichert , Lina Xu , Rickmer Braren , Deliang Fu , Roland Schmid , Ji Li , Bjoern Menze , Kuangyu Shi

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…

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