Results 71 to 80 of about 131,024 (143)
Lipidomic approach for stratification of Acute Myeloid Leukemia patients [PDF]
arXiv, 2016 The pathogenesis and progression of many tumors, including hematologic malignancies is highly dependent on enhanced lipogenesis. De novo fatty-acid synthesis permits accelerated proliferation of tumor cells by providing structural components to build the membranes.
arxiv
Haematologica, 2018 Patient-derived xenotransplantation models of human myeloid diseases including acute myeloid leukemia, myelodysplastic syndromes and myeloproliferative neoplasms are essential for studying the biology of the diseases in pre-clinical studies. However, few
Maria Krevvata +15 more
doaj +1 more source
A mathematical model of clonal hematopoiesis explaining phase transitions in myeloid leukemia [PDF]
arXivThis study presents a mathematical model describing cloned hematopoiesis in chronic myeloid leukemia (CML) through a nonlinear system of differential equations. The primary objective is to understand the progression from normal hematopoiesis to the chronic and accelerated-acute phases in myeloid leukemia.
arxiv
Automated Immunophenotyping Assessment for Diagnosing Childhood Acute Leukemia using Set-Transformers [PDF]
arXivAcute Leukemia is the most common hematologic malignancy in children and adolescents. A key methodology in the diagnostic evaluation of this malignancy is immunophenotyping based on Multiparameter Flow Cytometry (FCM). However, this approach is manual, and thus time-consuming and subjective. To alleviate this situation, we propose in this paper the FCM-
arxiv
Haematologica, 2008 Background Aurora kinases play an essential role in the orchestration of chromosome separation and cytokinesis during mitosis. Small-molecule inhibition of the aurora kinases has been shown to result in inhibition of cell division, phosphorylation of ...
Elisabeth Walsby +4 more
doaj +1 more source
Self-Supervised Multiple Instance Learning for Acute Myeloid Leukemia Classification [PDF]
arXivAutomated disease diagnosis using medical image analysis relies on deep learning, often requiring large labeled datasets for supervised model training. Diseases like Acute Myeloid Leukemia (AML) pose challenges due to scarce and costly annotations on a single-cell level.
arxiv
Discovery of cancer common and specific driver gene sets [PDF]
arXiv, 2016 Cancer is known as a disease mainly caused by gene alterations. Discovery of mutated driver pathways or gene sets is becoming an important step to understand molecular mechanisms of carcinogenesis. However, systematically investigating commonalities and specificities of driver gene sets among multiple cancer types is still a great challenge, but this ...
arxiv
Case Reports in Hematology, 2018 Updated WHO criteria define mixed phenotype acute leukemia (MPAL) with more stringent diagnostic criteria than the formerly described entity biphenotypic acute leukemia (BAL). The changes in diagnostic criteria influence management by assigning weight to
William A. Hammond +5 more
doaj +1 more source
Automatic Retrosynthetic Pathway Planning Using Template-free Models [PDF]
arXiv, 2019 We present an attention-based Transformer model for automatic retrosynthesis route planning. Our approach starts from reactants prediction of single-step organic reactions for given products, followed by Monte Carlo tree search-based automatic retrosynthetic pathway prediction.
arxiv
Revista Brasileira de Hematologia e HemoterapiaBackground: Acute myeloid leukemia presenting the MYST3-CREBBP fusion gene is a rare subgroup associated with hemophagocytosis in early infancy and monocytic differentiation.
Francianne Gomes Andrade +7 more
doaj +1 more source