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Quantum machine learning offers a promising new paradigm for computational biology by leveraging quantum mechanical principles to enhance cancer classification, biomarker discovery, and bioinformatics diagnostics. In this study, we apply…

Genomics · Quantitative Biology 2026-04-22 Mandeep Kaur Saggi , Amandeep Singh Bhatia , Humaira Gowher , Sabre Kais

In biomedical studies it is of substantial interest to develop risk prediction scores using high-dimensional data such as gene expression data for clinical endpoints that are subject to censoring. In the presence of well-established…

Applications · Statistics 2011-11-24 Qi Long , Matthias Chung , Carlos S. Moreno , Brent A. Johnson

Objective Neoadjuvant chemotherapy (NACT) is one kind of treatment for advanced stage ovarian cancer patients. However, due to the nature of tumor heterogeneity, the clinical outcomes to NACT vary significantly among different subgroups.…

Computer Vision and Pattern Recognition · Computer Science 2024-07-04 Ke Zhang , Neman Abdoli , Patrik Gilley , Youkabed Sadri , Xuxin Chen , Theresa C. Thai , Lauren Dockery , Kathleen Moore , Robert S. Mannel , Yuchen Qiu

SOWAHA is a protein-coding gene, also known as ANKRD43. Studies have indicated that SOWAHA can serve as a prognostic biomarker in colorectal cancer and pancreatic cancer. However, there are few reports about SOWAHA in other types of cancer…

Quantitative Methods · Quantitative Biology 2024-10-03 Xiaohong Yi , Xianwen Zhang , Claire H. Zhao , Yuhui Chen , Lijun Huang , Hua Zhong , Yumei Wang

Cancer is a complex genetic disease involving uncontrolled cell growth and proliferation, and necessitates effective targeting of dysregulated cellular pathways underlying cancer progression. Multiple genetic and epigenetic alterations…

Other Quantitative Biology · Quantitative Biology 2026-01-28 Manish Kumar

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

Variability in the tumorigenic potential among cancer cells within a tumor population is an unresolved fundamental issue in cancer biology. It is important to know whether cancer cells with higher tumorigenic potential, such as cancer stem…

Molecular Networks · Quantitative Biology 2011-11-30 Subhadip Raychaudhuri

Recently, a new $\Delta$ method for the calculation of asymptotic normalization coefficients (ANC) from phase-shift data has been formulated, proved and used for bound states. This method differs from the conventional one by fitting only…

Nuclear Theory · Physics 2018-08-15 B. F. Irgaziev , Yu. V. Orlov

Pediatric Low-Grade Neuroepithelial Tumors (PLGNT) are the most common pediatric cancer type, accounting for 40% of brain tumors in children, and identifying PLGNT molecular subtype is crucial for treatment planning. However, the gold…

Image and Video Processing · Electrical Eng. & Systems 2024-02-07 Khashayar Namdar , Matthias W. Wagner , Cynthia Hawkins , Uri Tabori , Birgit B. Ertl-Wagner , Farzad Khalvati

The study of racial/ethnic inequalities in health is important to reduce the uneven burden of disease. In the case of colorectal cancer (CRC), disparities in survival among non-Hispanic Whites and Blacks are well documented, and mechanisms…

Artificial Intelligence (AI) can potentially support histopathologists in the diagnosis of a broad spectrum of cancer types. In colorectal cancer (CRC), AI can alleviate the laborious task of characterization and reporting on resected…

Image and Video Processing · Electrical Eng. & Systems 2023-02-10 John-Melle Bokhorst , Iris D. Nagtegaal , Filippo Fraggetta , Simona Vatrano , Wilma Mesker , Michael Vieth , Jeroen van der Laak , Francesco Ciompi

Precision medicine promises to transform health care by offering individualised treatments that dramatically improve clinical outcomes. A necessary prerequisite is to identify subgroups of patients who respond differently to different…

Machine Learning · Computer Science 2026-03-03 Adam Marcus , Paul Agapow

Cancer is a systemic heterogeneous disease involving complex molecular networks. Tumor formation involves epithelial-mesenchymal transition (EMT), which promotes both metastasis and plasticity of cancer cells. Recent experiments proposed…

Molecular Networks · Quantitative Biology 2023-05-23 Zihao Chen , Jia Lu , Xing-Ming Zhao , Haiyang Yu , Chunhe Li

Histopathological characterization of colorectal polyps is an important principle for determining the risk of colorectal cancer and future rates of surveillance for patients. This characterization is time-intensive, requires years of…

Computer Vision and Pattern Recognition · Computer Science 2017-04-14 Bruno Korbar , Andrea M. Olofson , Allen P. Miraflor , Katherine M. Nicka , Matthew A. Suriawinata , Lorenzo Torresani , Arief A. Suriawinata , Saeed Hassanpour

Automating tissue segmentation and tumor detection in histopathology images of colorectal cancer (CRC) is an enabler for faster diagnostic pathology workflows. At the same time it is a challenging task due to low availability of public…

Image and Video Processing · Electrical Eng. & Systems 2023-04-07 Lydia A. Schoenpflug , Maxime W. Lafarge , Anja L. Frei , Viktor H. Koelzer

A distinct feature of pancreatic ductal adenocarcinoma (PDAC) is a prominent tumor microenvironment (TME) with remarkable cellular and spatial heterogeneity that meaningfully impacts disease biology and treatment resistance. The dynamic…

Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive cancer with limited treatment options. This research proposes a workflow and deep learning-based segmentation models to automatically assess tumor-vessel involvement, a key…

The BReast CAncer type 2 susceptibility protein (BRCA2) responds to DNA damage by participating in homology-directed repair. BRCA2 deficiency culminates in defective DNA damage repair (DDR) that when prolonged leads to the accumulation of…

Colonoscopy is a procedure to detect colorectal polyps which are the primary cause for developing colorectal cancer. However, polyp segmentation is a challenging task due to the diverse shape, size, color, and texture of polyps, shuttle…

Image and Video Processing · Electrical Eng. & Systems 2021-05-04 Krushi Patel , Andres M. Bur , Guanghui Wang

Prostate cancer is a prevalent malignancy among men aged 50 and older. Current diagnostic methods primarily rely on blood tests, PSA:Prostate-Specific Antigen levels, and Digital Rectal Examinations (DRE). However, these methods suffer from…

Machine Learning · Computer Science 2023-09-28 Amit Mathapati
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