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Much progress has been made, and continues to be made, towards identifying candidate mutated driver pathways in cancer. However, no systematic approach to understanding how candidate pathways relate to each other for a given cancer (such as…

Quantitative Methods · Quantitative Biology 2019-12-03 Raouf Dridi , Hedayat Alghassi , Maen Obeidat , Sridhar Tayur

The accurate classification of lymphoma subtypes using hematoxylin and eosin (H&E)-stained tissue is complicated by the wide range of morphological features these cancers can exhibit. We present LymphoML - an interpretable machine learning…

Motivation: We investigate whether a template-based classification pipeline could be used to identify immunophenotypes in (and thereby classify) a heterogeneous disease with many subtypes. The disease we consider here is Acute Myeloid…

Quantitative Methods · Quantitative Biology 2014-03-26 Ariful Azad , Bartek Rajwa , Alex Pothen

Imaging demonstrates that preclinical and human tumors are heterogeneous, i.e. a single tumor can exhibit multiple regions that behave differently during both normal development and also in response to treatment. The large variations…

Computer Vision and Pattern Recognition · Computer Science 2022-09-08 P. D. Tar , N. A. Thacker , J. P. B. O'Connor

Macrophages in atherosclerotic lesions exhibit a spectrum of behaviours or phenotypes. The phenotypic distribution of monocyte-derived macrophages (MDMs), its correlation with MDM lipid content, and relation to blood lipoprotein densities…

Cell Behavior · Quantitative Biology 2024-04-11 Keith L Chambers , Mary R Myerscough , Michael G Watson , Helen M Byrne

Acute Myeloid Leukemia (AML) is one of the most aggressive types of hematological neoplasm. To support the specialists' decision about the appropriate therapy, patients with AML receive a prognostic of outcomes according to their…

Machine Learning · Computer Science 2024-05-30 Jade M. Almeida , Giovanna A. Castro , João A. Machado-Neto , Tiago A. Almeida

Amyloid beta peptides (A\b{eta}), implicated in Alzheimers disease (AD), interact with the cellular membrane and induce amyloid toxicity. The composition of cellular membranes changes in aging and AD. We designed multi component lipid…

Biological Physics · Physics 2017-11-01 Elizabeth Drolle , Alexander Negoda , Keely Hammond , Evgeny Pavlov , Zoya Leonenko

Acute Lymphoblastic Leukemia (ALL) is one of the most common types of childhood blood cancer. The quick start of the treatment process is critical to saving the patient's life, and for this reason, early diagnosis of this disease is…

Computer Vision and Pattern Recognition · Computer Science 2025-03-07 Amirhossein Askari Farsangi , Ali Sharifi-Zarchi , Mohammad Hossein Rohban

A mutation in the DNA of a single cell that compromises its function initiates leukemia,leading to the overproduction of immature white blood cells that encroach upon the space required for the generation of healthy blood cells.Leukemia is…

Computer Vision and Pattern Recognition · Computer Science 2025-01-27 Md. Abu Ahnaf Mollick , Md. Mahfujur Rahman , D. M. Asadujjaman , Abdullah Tamim , Nosin Anjum Dristi , Md. Takbir Hossen

Deep Learning can significantly benefit cancer proteomics and genomics. In this study, we attempt to determine a set of critical proteins that are associated with the FLT3-ITD mutation in newly-diagnosed acute myeloid leukemia patients. A…

Quantitative Methods · Quantitative Biology 2018-01-04 Christine A. Liang , Lei Chen , Amer Wahed , Andy N. D. Nguyen

Acute Myeloid Leukemia (AML) is a highly aggressive blood cancer with low survival rates. Hence, emphasizing the importance of the urgent need for effective treatment modalities. In recent times, the advances in cancer genomics have…

Other Quantitative Biology · Quantitative Biology 2025-12-09 Sadia Ruhama

Acute myeloid leukaemia (AML) is a type of blood and bone marrow cancer characterized by the proliferation of abnormal clonal haematopoietic cells in the bone marrow leading to bone marrow failure. Over the course of the disease, angiogenic…

Applications · Statistics 2025-07-23 Qiquan Wang , Anna Song , Antoniana Batsivari , Dominique Bonnet , Anthea Monod

Acute Myeloid Leukemia (AML) is one of the most life-threatening type of blood cancers, and its accurate classification is considered and remains a challenging task due to the visual similarity between various cell types. This study…

Computer Vision and Pattern Recognition · Computer Science 2026-04-20 Enas E. Ahmed , Salah A. Aly , Mayar Moner

Lung adenocarcinoma is a morphologically heterogeneous disease, characterized by five primary histologic growth patterns. The quantity of these patterns can be related to tumor behavior and has a significant impact on patient prognosis. In…

Image and Video Processing · Electrical Eng. & Systems 2024-05-17 Arwa Al-Rubaian , Gozde N. Gunesli , Wajd A. Althakfi , Ayesha Azam , Nasir Rajpoot , Shan E Ahmed Raza

Atherosclerosis is a chronic inflammatory disease of the artery wall. The early stages of atherosclerosis are driven by interactions between lipids and monocyte-derived-macrophages (MDMs). The mechanisms that govern the spatial distribution…

Cell Behavior · Quantitative Biology 2025-02-10 Keith L. Chambers , Mary R. Myerscough , Michael G. Watson , Helen M. Byrne

Lipophilicity is one of the factors determining the permeability of the cell membrane to a drug molecule. Hence, accurate lipophilicity prediction is an essential step in the development of new drugs. In this paper, we introduce a novel…

Breast Cancer is the most prevalent cancer in the world. The World Health Organization reports that the disease still affects a significant portion of the developing world citing increased mortality rates in the majority of low to middle…

Computer Vision and Pattern Recognition · Computer Science 2021-08-23 Walt Williams , Jimmy Hall

There is a widening recognition that cancer cells are products of complex developmental processes. Carcinogenesis and metastasis formation are increasingly described as systems-level, network phenomena. Here we propose that malignant…

Molecular Networks · Quantitative Biology 2013-09-18 David M. Gyurko , Daniel V. Veres , Dezso Modos , Katalin Lenti , Tamas Korcsmaros , Peter Csermely

Acute Myeloid Leukemia (AML) remains a clinical challenge due to its extreme molecular heterogeneity and high relapse rates. While precision medicine has introduced mutation-specific therapies, many patients still lack effective,…

Lung adenocarcinoma (LUAD) is a morphologically heterogeneous disease, characterized by five primary histological growth patterns. The classification of such patterns is crucial due to their direct relation to prognosis but the high…

Image and Video Processing · Electrical Eng. & Systems 2025-01-15 Arwa Al-Rubaian , Gozde N. Gunesli , Wajd A. Althakfi , Ayesha Azam , David Snead , Nasir M. Rajpoot , Shan E Ahmed Raza
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