Results 241 to 250 of about 950,400 (402)

Clinical validation of a real‐time machine learning‐based system for the detection of acute myeloid leukemia by flow cytometry

Cytometry Part B: Clinical Cytometry, EarlyView.
Abstract Machine‐learning (ML) models in flow cytometry have the potential to reduce error rates, increase reproducibility, and boost the efficiency of clinical labs. While numerous ML models for flow cytometry data have been proposed, few studies have described the clinical deployment of such models.
Lauren M. Zuromski, Jacob Durtschi, Aimal Aziz, Jeffrey Chumley, Mark Dewey, Paul English, Muir Morrison, Keith Simmon, Blaine Whipple, Brendan O'Fallon, David P. Ng   +10 more
wiley   +1 more source

Chronic Myeloid Leukemia in a Young Adult. [PDF]

Cureus
Patel K, Syed J, Jagadish A, Vedantam V, Daugherty D.   +4 more
europepmc   +1 more source

Philadelphia-positive chronic myeloid leukemia with a chromosome 22 breakpoint outside the breakpoint cluster region [published erratum appears in Blood 1988 Jan;71(1):272] [PDF]

, 1987
Licia Selleri, Franco Narni, Giovanni Emilia, A Colò, Patrizia Zucchini, Donatella Venturelli, Amedea Donelli, U Torelli, Giuseppe Torelli   +8 more
openalex   +1 more source

Unraveling genotype–phenotype associations and predictive modeling of outcome in acute myeloid leukemia

Cytometry Part B: Clinical Cytometry, EarlyView.
Abstract Acute myeloid leukemia (AML) comprises 32% of adult leukemia cases, with a 5‐year survival rate of only 20–30%. Here, the immunophenotypic landscape of this heterogeneous malignancy is explored in a single‐center cohort using a novel quantitative computational pipeline.
Artuur Couckuyt, Sofie Van Gassen, Annelies Emmaneel, Vince Janda, Malicorne Buysse, Ine Moors, Jan Philippé, Mattias Hofmans, Tessa Kerre, Yvan Saeys, Sarah Bonte   +10 more
wiley   +1 more source

Congenital Acute Myeloid Leukemia (AML): A Case Report. [PDF]

Int Med Case Rep J
Alsharidah S, Almatar E.
europepmc   +1 more source

DNA aneuploidies in adult patients with acute myeloid leukemia. Incidence and relation to patient characteristics and morphologic subtypes [PDF]

, 1986
Wolfgang Hiddemann, Bernhard Wörmann, W. Göhde, Thomas Büchner   +3 more
openalex   +1 more source

A 20‐color 21‐antigen flow cytometric assay for disease monitoring of T‐cell lymphoblastic leukemia

Cytometry Part B: Clinical Cytometry, EarlyView.
Abstract T‐lineage acute lymphoblastic leukemia (T‐ALL) is an aggressive neoplasm of immature T cells. Flow cytometry plays a critical role in the diagnosis and management of the disease. It is used to establish the abnormal immature T‐cell phenotype and to distinguish the early T‐cell precursor (ETP)‐ALL from more mature types at diagnosis.
Qi Gao, Jingping Zhang, Krasimira Rozenova, Xiaotian Sun, Amanda Burke, Olivia Miu, Nghia Nguyen, Shu Jie Zhang, Mikhail Roshal   +8 more
wiley   +1 more source

CD155 as a prognostic and predictive biomarker in acute myeloid leukemia. [PDF]

Discov Oncol
Abdalla AZ, Khallaf SM, Zahran AM, Rayan NA, Elzaher ARA.   +4 more
europepmc   +1 more source

Restoration of responsiveness of chronic myeloid leukemia granulocyte- macrophage colony-forming cells to growth regulation in vitro following preincubation with prostaglandin E [PDF]

, 1983
LM Pelus, E Gold, S Saletan, M Coleman
openalex   +1 more source

Prognostic and biologic significance of long non-coding RNA profiling in younger adults with cytogenetically normal acute myeloid leukemia [PDF]

, 2017
et al.,, Uy, Geoffrey L
core   +2 more sources