A Diagnostic Model for Acute Lymphoblastic Leukemia Using Metaheuristics and Deep Learning Methods [PDF]
arXivAcute lymphoblastic leukemia (ALL) severity is determined by the presence and ratios of blast cells (abnormal white blood cells) in both bone marrow and peripheral blood. Manual diagnosis of this disease is a tedious and time-consuming operation, making it difficult for professionals to accurately examine blast cell characteristics.
arxiv
Genetic Polymorphism of Thiopurine S-Methyltransferase in Children with Acute Lymphoblastic Leukemia
Pakistan Journal of Medicine and DentistryBackground: 6-Mercaptopurine (6-MP), a widely used anti-metabolite for the maintenance phase of childhood acute lymphoblastic leukemia (ALL), has been observed to cause myelotoxicity due to genetic polymorphism of thiopurine methyl transferase (TPMT ...
Afrina Raza +3 more
doaj +1 more source
MMIL: A novel algorithm for disease associated cell type discovery [PDF]
arXivSingle-cell datasets often lack individual cell labels, making it challenging to identify cells associated with disease. To address this, we introduce Mixture Modeling for Multiple Instance Learning (MMIL), an expectation maximization method that enables the training and calibration of cell-level classifiers using patient-level labels. Our approach can
arxiv
Detection and Classification of Acute Lymphoblastic Leukemia Utilizing Deep Transfer Learning [PDF]
arXivA 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 treatable if identified in its initial stages. However,its diagnosis is both arduous and time consuming.
arxiv
Clofarabine combined with etoposide and cyclophosphamide for refractory and multiple relapsed childhood B-cell precursor acute lymphoblastic leukemia: an experience of the Polish Pediatric Leukemia/Lymphoma Study Group [PDF]
Acta Haematologica Polonica, 2020 Wachowiak, Jacek +7 more
openaire +3 more sources
A study on deep feature extraction to detect and classify Acute Lymphoblastic Leukemia (ALL) [PDF]
arXivAcute lymphoblastic leukaemia (ALL) is a blood malignancy that mainly affects adults and children. This study looks into the use of deep learning, specifically Convolutional Neural Networks (CNNs), for the detection and classification of ALL. Conventional techniques for ALL diagnosis, such bone marrow biopsy, are costly and prone to mistakes made by ...
arxiv
Understanding the role of B-cells in CAR T-cell therapy in leukemia through a mathematical model [PDF]
arXivChimeric Antigen Receptor T (CAR-T) cell therapy has been proven to be successful against different leukaemias and lymphomas. This paper makes an analytical and numerical study of a mathematical model describing the competition of CAR-T, leukaemias tumor and B cells.
arxiv
Clinical Case ReportsIntrathecal methotrexate can cause cauda equina syndrome in pediatric ALL patients, as demonstrated in this rare case of an 8‐year‐old boy. Symptoms included progressive limb weakness and urinary retention.
Marzieh Babaee +2 more
doaj +1 more source
A case report of angioimmunoblastic T-cell lymphoma developing into B-cell precursor acute lymphoblastic leukemia after autologous hematopoietic stem cell transplantation [PDF]
Yanyu Zhang +3 more
openalex +1 more source
Medical Imagery: Cytomegalovirus sialadenitis in a patient with B-cell acute lymphoblastic leukemia
IDCasesCytomegalovirus (CMV) can cause a broad range of diseases, with severity depending on immune status, comorbidities, and age. Initial CMV infection usually occurs in childhood and is typically asymptomatic, leading to lifelong latency.
Javier A. Baena-Del Valle +6 more
doaj