Results 81 to 90 of about 79,614 (239)

The experience of relapsed Burkitt lymphoma treatment with targeted drugs and autologous/allogeneic stem cell transplantation

open access: yesОнкогематология
The use of high-effective, multicomponent, risk-adopted chemoimmunotherapy schemes in children with Burkitt lymphoma reached advanced long-term progression-free survival over 90 % even for high risk patients.
T. T. Valiev   +5 more
doaj   +1 more source

Acute lymphoblastic leukemia may develop as a result of rapid transformation of a lymphoblast triggered by repeated bone-remodeling during bone-growth [PDF]

open access: yesarXiv, 2018
Acute lymphoblastic leukemia (ALL) and chronic lymphocytic leukemia (CLL) are two major forms of leukemia that arise from lymphoid cells (LCs). ALL occurs mostly in children and CLL occurs mainly in old people. However, the Philadelphia-chromosome-positive ALL (Ph+-ALL) and the Ph-like ALL occur in both children and adults.
arxiv  

T-cell lymphoblastic lymphoma and leukemia: different diseases from a common premalignant progenitor?

open access: yesBlood Advances, 2020
T-cell lymphoblastic lymphoma (T-LBL) and lymphoblastic leukemia (T-ALL) represent malignancies that arise from the transformation of immature precursor T cells.
E. Kroeze   +3 more
semanticscholar   +1 more source

RNA‐sequencing: A reliable tool to unveil transcriptional landscape of paediatric B‐other acute lymphoblastic leukaemia

open access: yesBritish Journal of Haematology, EarlyView.
Using current standard‐of‐care tests used in clinical practice, 20%–30% of B‐cell precursor acute lymphoblastic leukaemia (BCP‐ALL) patients remain unclassified. These patients are grouped into a heterogeneous category named B‐other ALL and are all treated with the same intensity. The application of RNA‐seq, together with the integration of standard‐of‐
Clara Vicente‐Garcés   +12 more
wiley   +1 more source

Explainable Techniques for Analyzing Flow Cytometry Cell Transformers [PDF]

open access: yesarXiv, 2023
Explainability for Deep Learning Models is especially important for clinical applications, where decisions of automated systems have far-reaching consequences. While various post-hoc explainable methods, such as attention visualization and saliency maps, already exist for common data modalities, including natural language and images, little work has ...
arxiv  

Organoids in Haematologic Research: Advances and Future Directions

open access: yesCell Proliferation, EarlyView.
This review focuses on the advancements in organoid technology and its transformative role in haematological research, particularly in the modelling of haematopoietic tissues, blood diseases and drug development. It also offers an outlook on the future prospects of organoids in personalised medicine and the study of disease mechanisms.
Liangzheng Chang   +4 more
wiley   +1 more source

Automated Detection of Acute Promyelocytic Leukemia in Blood Films and Bone Marrow Aspirates with Annotation-free Deep Learning [PDF]

open access: yesarXiv, 2022
While optical microscopy inspection of blood films and bone marrow aspirates by a hematologist is a crucial step in establishing diagnosis of acute leukemia, especially in low-resource settings where other diagnostic modalities might not be available, the task remains time-consuming and prone to human inconsistencies.
arxiv  

Impacts of Vincristine and Prednisolone Chemotherapy on the Canine Gut Microbiota in Dogs Undergoing Treatment for Lymphoma

open access: yesVeterinary and Comparative Oncology, EarlyView.
ABSTRACT Chemotherapy can have adverse gastrointestinal effects in dogs and people. The objective of this study was to assess the impact of vincristine and prednisolone/prednisone, as part of a CHOP chemotherapy [cyclophosphamide, hydroxydaunorubicin, oncovin (vincristine) and prednisolone/prednisone] protocol, on gastrointestinal dysbiosis in dogs ...
Juan Aragon   +10 more
wiley   +1 more source

Orchard: building large cancer phylogenies using stochastic combinatorial search [PDF]

open access: yesarXiv, 2023
Phylogenies depicting the evolutionary history of genetically heterogeneous subpopulations of cells from the same cancer, i.e., cancer phylogenies, offer valuable insights about cancer development and guide treatment strategies. Many methods exist that reconstruct cancer phylogenies using point mutations detected with bulk DNA sequencing.
arxiv  

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