Results 151 to 160 of about 3,163,010 (367)
Some subtypes of acute myeloid leukemia share morphologic, immunophenotypic, and clinical features of acute promyelocytic leukemia but lack a promyelocytic leukemia–retinoic acid receptor alpha fusion gene.
Huan Liu+3 more
doaj +1 more source
A mathematical model of clonal hematopoiesis explaining phase transitions in myeloid leukemia [PDF]
This study presents a mathematical model describing cloned hematopoiesis in chronic myeloid leukemia (CML) through a nonlinear system of differential equations. The primary objective is to understand the progression from normal hematopoiesis to the chronic and accelerated-acute phases in myeloid leukemia.
arxiv
Application of Deep Learning on Predicting Prognosis of Acute Myeloid Leukemia with Cytogenetics, Age, and Mutations [PDF]
We explore how Deep Learning (DL) can be utilized to predict prognosis of acute myeloid leukemia (AML). Out of TCGA (The Cancer Genome Atlas) database, 94 AML cases are used in this study. Input data include age, 10 common cytogenetic and 23 most common mutation results; output is the prognosis (diagnosis to death, DTD). In our DL network, autoencoders
arxiv
REPORT OF A CASE OF ACUTE LEUKEMIA WITH STREPTOCOCCUS INFECTION. [PDF]
JAMES B. HERRICK
openalex +1 more source
A GRP78 nanobody‐directed immunotoxin suppresses cancer progression and metastasis by enhancing antitumor immunity via STING pathway activation, offering a pan‐cancer‐targeted approach and immunotherapy combination strategy. Abstract The lack of targetable antigens poses a significant challenge in developing effective cancer‐targeted therapies.
Huifang Wang+16 more
wiley +1 more source
Abstract Following the introduction of tyrosine kinase inhibitors (TKI), the number of patients undergoing allogeneic hematopoietic cell transplantation (allo‐HCT) for chronic phase (CP) chronic myeloid leukemia (CML) has dramatically decreased. Imatinib was the first TKI introduced to the clinical arena, predominantly utilized in the first line ...
Yves Chalandon+25 more
wiley +1 more source
Early Diagnosis of Acute Lymphoblastic Leukemia Using YOLOv8 and YOLOv11 Deep Learning Models [PDF]
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
ACUTE LYMPHATIC LEUKEMIA. SOME CLINICAL OBSERVATIONS IN A CASE SUGGESTING INFECTION AS AN ETIOLOGIC FACTOR. [PDF]
PHILIP MARVEL
openalex +1 more source
A 3D Genome Atlas of Genetic Variants and Their Pathological Effects in Cancer
The hierarchical organization of the eukaryotic genome is vital for nuclear function, and disruptions from genetic mutations can alter this 3D architecture. Cataloging thousands of interchromosomal translocations, structural variants, and single nucleotide polymorphisms, their impact on 3D genome organization is revealed. The scoring algorithm, 3DFunc,
Li Tang+6 more
wiley +1 more source
Abstract Direct comparisons of the effectiveness of the numerous novel therapies in the diffuse large B‐cell lymphoma (DLBCL) treatment landscape in a range of head‐to‐head randomized phase 3 trials would be time‐consuming and costly. Comparative effectiveness studies using real‐world data (RWD) represent a complementary approach.
Grzegorz Nowakowski+4 more
wiley +1 more source