Results 111 to 120 of about 79,614 (239)

Necrotic Bone Involvement in an Adult Afflicted with B-Cell Precursor Acute Lymphoblastic Leukemia Mimicking Osteomyelitis: A Case Report

open access: yes대한영상의학회지, 2018
A 41-year-old female presented with complaint of left hip and buttock pain. Magnetic resonance imaging (MRI) showed multi-focal bone marrow signal intensity changes in left iliac bone, sacrum and femur with an area of necrosis. The primary radiological
Hae Won Kim   +3 more
doaj   +1 more source

Childhood Lymphoblastic Lymphoma: Hospital Based Study.

open access: yesمجلة كلية الطب, 2015
Background: Lymphoblastic lymphomas (LBL) are neoplasms of precursor T cells and B cells, or lymphoblasts. The term lymphoblastic lymphoma has been used to describe predominantly lymph node– based disease; however, clinical distinction between LBL and ...
Samaher A. Fadhil   +3 more
doaj   +1 more source

Maxilla Unilateral Swelling as the First Diagnostic Symptom of Acute Lymphoblastic Leukemia Relapse: A Case Report

open access: yesFrontiers in Dentistry, 2011
Acute Lymphoblastic Leukemia (ALL) is the most prevalent hematological malignant tumor during childhood. Unilateral infiltration into the gums is less prevalent and more often observed in the AML type.
M. Fallahinejad Ghajari   +2 more
doaj  

CAR T Cells Beyond Cancer: Hope for Immunomodulatory Therapy of Infectious Diseases

open access: yesFrontiers in Immunology, 2019
Infectious diseases are still a significant cause of morbidity and mortality worldwide. Despite the progress in drug development, the occurrence of microbial resistance is still a significant concern.
Michelle Seif   +2 more
doaj   +1 more source

Early Diagnosis of Acute Lymphoblastic Leukemia Using YOLOv8 and YOLOv11 Deep Learning Models [PDF]

open access: yesarXiv
Leukemia, a severe form of blood cancer, claims thousands of lives each year. This study focuses on the detection of Acute Lymphoblastic Leukemia (ALL) using advanced image processing and deep learning techniques. By leveraging recent advancements in artificial intelligence, the research evaluates the reliability of these methods in practical, real ...
arxiv  

Stochastic nonlinear model for somatic cell population dynamics during ovarian follicle activation [PDF]

open access: yesarXiv, 2019
In mammals, female germ cells are sheltered within somatic structures called ovarian follicles, which remain in a quiescent state until they get activated, all along reproductive life. We investigate the sequence of somatic cell events occurring just after follicle activation, starting by the awakening of precursor somatic cells, and their ...
arxiv  

Population Pharmacokinetics of Inotuzumab Ozogamicin in Pediatric Relapsed/Refractory B-Cell Precursor Acute Lymphoblastic Leukemia: Results of Study ITCC-059

open access: yesClinical Pharmacokinetics
Background and Objective Inotuzumab ozogamicin is an antibody-drug conjugate approved for treating relapsed/refractory B-cell precursor acute lymphoblastic leukemia (BCP-ALL) in adults. Pediatric pharmacokinetic data of inotuzumab ozogamicin are lacking.
Jen-Hao Wu   +29 more
semanticscholar   +1 more source

Immunophenotypic characterization of acute leukemia at a public oncology reference center in Maranhão, northeastern Brazil

open access: yesSão Paulo Medical Journal
CONTEXT AND OBJECTIVES: The incidence of acute leukemia (AL) subtypes varies according to geographical distribution. The aim here was to determine the incidence of morphological and immunophenotypic AL subtypes in the state of Maranhão, Brazil, and to ...
Elda Pereira Noronha   +5 more
doaj   +1 more source

γδ T-Cell Acute Lymphoblastic Leukemia/Lymphoma: Discussion of Two Pediatric Cases and Its Distinction from Other Mature γδ T-Cell Malignancies

open access: yesCase Reports in Hematology, 2017
Gamma delta (γδ) T-cell antigen receptor (TCR) expression and its related T-cell differentiation are not commonly reported in T-cell acute lymphoblastic leukemia/lymphoma (T-ALL).
Eric X. Wei   +9 more
doaj   +1 more source

Acute Lymphoblastic Leukemia Diagnosis Employing YOLOv11, YOLOv8, ResNet50, and Inception-ResNet-v2 Deep Learning Models [PDF]

open access: yesarXiv
Thousands of individuals succumb annually to leukemia alone. As artificial intelligence-driven technologies continue to evolve and advance, the question of their applicability and reliability remains unresolved. This study aims to utilize image processing and deep learning methodologies to achieve state-of-the-art results for the detection of Acute ...
arxiv  

Home - About - Disclaimer - Privacy