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Acute lymphoblastic leukemia [PDF]

open access: yesPediatric Blood & Cancer, 2021
AbstractThe survival of patients with acute lymphoblastic leukemia (ALL) has improved significantly with the use of intensive multimodality treatment regimens including chemotherapy, high‐dose chemotherapy and stem cell rescue, and radiation therapy when indicated.
John Han‐Chih Chang   +4 more
openaire   +3 more sources

A case report of secondary B-cell acute lymphoblastic leukemia treated with a combination of FLT3 inhibitor and decitabine [PDF]

open access: yesFrontiers in Oncology
Secondary acute lymphoblastic leukemia (s-ALL) refers to acute lymphoblastic leukemia that occurs after a previous malignant tumor, including therapy-related acute lymphoblastic leukemia (t-ALL) and prior malignant tumor acute lymphoblastic leukemia (pm ...
Mengci Hu   +5 more
doaj   +3 more sources

Pediatric acute lymphoblastic leukemia

open access: yesHaematologica, 2020
The last decade has witnessed great advances in our understanding of the genetic and biological basis of childhood acute lymphoblastic leukemia (ALL), the development of experimental models to probe mechanisms and evaluate new therapies, and the development of more efficacious treatment stratification.
Charles G. Mullighan, Hiroto Inaba
openaire   +6 more sources

Acute Lymphoblastic Leukemia in Children [PDF]

open access: yesNew England Journal of Medicine, 2015
The most common cancer in childhood is now curable in 90% of patients. Current efforts are focused on devising molecular-based therapy for the subsets of acute lymphoblastic leukemia that are most resistant to current therapy.
Hunger, S.P., Mullighan, C.G.
openaire   +5 more sources

Correlation between malondialdehyde and metanephrine in patients with acute lymphoblastic leukemia [PDF]

open access: yesBaghdad Science Journal, 2014
Acute lymphoblastic leukemia (ALL) is one of the most common diseases , so in this study the serum level of malondialdehyde and its relationship with metanephrine was investigated in acute lymphoblastic leukemia patients over one month of treatment. Some
Baghdad Science Journal
doaj   +3 more sources

Acute massive myelofibrosis with acutelymphoblastic leukemia [PDF]

open access: yesTurkish Journal of Hematology, 2009
Acute myelofibrosis is characterized by pancytopenia of sudden onset, megakaryocytic hyperplasia, extensive bone marrow fibrosis, and the absence of organomegaly. Acute myelofibrosis in patients with acute lymphoblastic leukemia is extremely rare.
Namık Özbek   +5 more
doaj   +1 more source

Quaternion-Valued Convolutional Neural Network Applied for Acute Lymphoblastic Leukemia Diagnosis [PDF]

open access: yesA. Britto and K. Valdivia Delgado (Eds.): BRACIS 2021, LNAI 13074, pp. 280-293, 2021. Springer Nature Switzerland AG 2021, 2021
The field of neural networks has seen significant advances in recent years with the development of deep and convolutional neural networks. Although many of the current works address real-valued models, recent studies reveal that neural networks with hypercomplex-valued parameters can better capture, generalize, and represent the complexity of ...
arxiv   +1 more source

The Expression Level of CCDC26 and FOXCUT Genes in Acute Lymphoblastic Leukemia [PDF]

open access: yes, 2021
Background and Aim: Acute lymphoblastic leukemia (ALL) is a malignant disease of lymphoid progenitor cells affecting both children and adults. Long non-coding RNAs (lncRNAs) are one kind of non-coding RNAs (ncRNAs), reported modulating the initiation or ...
Barati, Samaneh   +3 more
core   +2 more sources

In vivo imaging enables high resolution preclinical trials on patients' leukemia cells growing in mice. [PDF]

open access: yes, 2012
Xenograft mouse models represent helpful tools for preclinical studies on human tumors. For modeling the complexity of the human disease, primary tumor cells are by far superior to established cell lines.
Brentjens, Renier J.   +12 more
core   +6 more sources

Acute Lymphoblastic Leukemia Detection Using Hypercomplex-Valued Convolutional Neural Networks [PDF]

open access: yes2022 International Joint Conference on Neural Networks (IJCNN), 2022
This paper features convolutional neural networks defined on hypercomplex algebras applied to classify lymphocytes in blood smear digital microscopic images. Such classification is helpful for the diagnosis of acute lymphoblast leukemia (ALL), a type of blood cancer.
arxiv   +1 more source

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