Results 141 to 150 of about 401,465 (309)

Initial prognostic factors and lymphoblast-erythrocyte rosette formation in 109 children with acute lymphoblastic leukemia [PDF]

, 1977
LW Dow, Luis Borella, L Sen, RJ Aur, SL George, AM Mauer, JV Simone   +6 more
openalex   +1 more source

The genomic landscape of pediatric acute lymphoblastic leukemia

Nature Genetics, 2022
Samuel W. Brady, K. Roberts, Zhaohui Gu, Lei Shi, S. Pounds, Deqing Pei, Cheng Cheng, Yunfeng Dai, M. Devidas, Chunxu Qu, Ashley N Hill, D. Payne-Turner, Xiaotu Ma, I. Iacobucci, Pradyuamna Baviskar, Lei Wei, Sasi Arunachalam, Kohei Hagiwara, Yanling Liu, Diane A. Flasch, Yu Liu, Matthew Parker, Xiaolong Chen, A. Elsayed, Omkar Pathak, Yongjin Li, Yiping Fan, J. R. Michael, Michael C. Rusch, M. Wilkinson, Scott G. Foy, D. Hedges, S. Newman, Xin Zhou, Jian Wang, Colleen Reilly, Edgar Sioson, Stephen V. Rice, Victor B Pastor Loyola, Gang Wu, E. Rampersaud, S. Reshmi, J. Gastier-Foster, Jaime M Guidry Auvil, Patee Gesuwan, Malcolm A. Smith, N. Winick, A. Carroll, N. Heerema, R. Harvey, C. Willman, E. Larsen, E. Raetz, M. Borowitz, B. Wood, W. Carroll, P. Zweidler-McKay, K. Rabin, L. Mattano, K. Maloney, S. Winter, M. Burke, W. Salzer, K. Dunsmore, A. Angiolillo, K. Crews, J. Downing, S. Jeha, C. Pui, W. Evans, Jun J. Yang, M. Relling, D. Gerhard, M. Loh, S. Hunger, Jinghui Zhang, C. Mullighan   +76 more
semanticscholar   +1 more source

The many faces of IKZF1 in B-cell precursor acute lymphoblastic leukemia

Haematologica, 2018
Transcription factor IKZF1 (IKAROS) acts as a critical regulator of lymphoid differentiation and is frequently deleted or mutated in B-cell precursor acute lymphoblastic leukemia.
René Marke, F. V. van Leeuwen, B. Scheijen   +2 more
semanticscholar   +1 more source

Variations in non-pharmacological anti-infective measures in childhood leukemia – results of an international survey

Haematologica, 2012
Background Standardization in clinical practice may lead to improved outcomes. Unfortunately, little is known about the variability of non-pharmacological anti-infective measures in children with cancer.Design and Methods A web-based survey assessed ...
Thomas Lehrnbecher, Richard Aplenc, Fernanda Rivas Pereira, Alvaro Lassaletta, Désirée Caselli, Jerzy Kowalczyk, Julia Chisholm, Lillian Sung   +7 more
doaj   +1 more source

Leukocyte density and volume in normal subjects and in patients with acute lymphoblastic leukemia [PDF]

, 1976
Alvin Zipursky, E Bow, RS Seshadri, E J Brown   +3 more
openalex   +1 more source

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

arXiv
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  

Recommendations for the assessment and management of measurable residual disease in adults with acute lymphoblastic leukemia: A consensus of North American experts

American journal of hematology/oncology, 2018
Measurable residual disease (MRD) that persists after initial therapy is a powerful predictor of relapse and survival in acute lymphoblastic leukemia (ALL). However, the optimal use of this information to influence therapeutic decisions is controversial.
N. Short, E. Jabbour, M. Albitar, M. de Lima, L. Gore, J. Jorgensen, A. Logan, Jae H. Park, F. Ravandi, B. Shah, J. Radich, H. Kantarjian   +11 more
semanticscholar   +1 more source

Formulation of a novel anti-leukemia drug and evaluation of its therapeutic effects in comparison with Cytarabine

Arabian Journal of Chemistry, 2022
In the recent research, we investigated the application of gold nanoparticles green-synthesized by Alhagi maurorum aqueous extract in the treatment of several types of leukemia, i.e.
Min Liu, Wushan Li, Haichang Ma, Xinyu Yang, Anchang Liu, Chunyan Ji   +5 more
doaj  

Subset derivation of T-cell acute lymphoblastic leukemia in man. [PDF]

, 1979
Ellis L. Reinherz, Lee M. Nadler, Stephen E. Sallan, Stuart F. Schlossman   +3 more
openalex   +1 more source

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

arXiv
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