Pattern recognition of acute lymphoblastic leukemia (ALL) using computational deep learning

N Jiwani, K Gupta, G Pau, M Alibakhshikenari - IEEE Access, 2023 - ieeexplore.ieee.org
Leukemia is a cancer of blood-producing cells, including the bone marrow. Abnormal white
blood cells travel through blood vessels and multiply rapidly. Healthy cells in the body …

Hematological, clinical, immunophenotypic characterization, and treatment outcomes of prognostically significant genetic subtypes of B‐lineage acute lymphoblastic …

DG Gupta, N Varma, P Sharma, MI Truica… - Cancer, 2023 - Wiley Online Library
Background The published literature on hematological, clinical, flowcytometric‐
immunophenotyping, and minimal residual disease outcomes of the prognostically important …

Description of lymphocyte and cytokine profiles in individuals with acute myeloid leukemia associated with FLT3-ITD and NPM1 mutation status

R Reis, GS Müller, MM Santos, AS Santos… - European Journal of …, 2024 - journals.lww.com
The pathogenesis of acute myeloid leukemia (AML) involves mutations in genes such as
FLT3 and NPM1, which are also associated with the prognosis of the disease. The immune …

Flow cytometric detection of leukemic blasts in Libyan pediatric patients with acute lymphoblastic leukemia

AS Elbnnani, M Elbasir, S Altabal… - Libyan Journal of …, 2024 - Taylor & Francis
The diagnosis of acute lymphoblastic leukemia (ALL), which is the most common type of
cancer in children, has become more accurate with the use of flow cytometry. Here, this …