AIMC Topic: Leukemia, Lymphocytic, Chronic, B-Cell
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In silico analysis of atrial fibrillation and hypertension mechanism of action secondary to ibrutinib/acalabrutinib in chronic lymphocytic leukemia.
Scientific reports
Jul 31, 2025
Ibrutinib and acalabrutinib are first- and next-generation Bruton Tyrosine Kinase inhibitors (BTKi), respectively, approved for chronic lymphocytic leukemia (CLL). Ibrutinib has been associated with cardiovascular events, including atrial fibrillatio...
Integrating machine learning and structural dynamics to explore B-cell lymphoma-2 inhibitors for chronic lymphocytic leukemia therapy.
Molecular diversity
Jan 9, 2025
Chronic lymphocytic leukemia (CLL) is a malignancy caused by the overexpression of the anti-apoptotic protein B-cell lymphoma-2 (BCL-2), making it a critical therapeutic target. This study integrates computational screening, molecular docking, and mo...
Machine learning based on multiplatform tests assists in subtype classification of mature B-cell neoplasms.
British journal of haematology
Dec 3, 2024
Mature B-cell neoplasms (MBNs) are clonal proliferative diseases encompassing over 40 subtypes. The WHO classification (morphology, immunology, cytogenetics and molecular biology) provides comprehensive diagnostic understandings. However, MBN subtypi...
Flow Cytometry
Bone Marrow
High-Throughput Nucleotide Sequencing
East Asian People
Mutation
Lymphoma, Follicular
CD5 Antigens
Lymphoma, Mantle-Cell
Immunohistochemistry
Lymphoma, B-Cell
Neprilysin
Humans
Machine Learning
Retrospective Studies
Leukemia, Lymphocytic, Chronic, B-Cell
Leukemia, Hairy Cell
Waldenstrom Macroglobulinemia
Artificial intelligence assisted diagnosis of chronic lymphocytic leukemia in a historic pediatric case using large language models.
Annals of hematology
Jul 29, 2024
Detection of disease-specific signatures in B cell repertoires of lymphomas using machine learning.
PLoS computational biology
Jul 2, 2024
The classification of B cell lymphomas-mainly based on light microscopy evaluation by a pathologist-requires many years of training. Since the B cell receptor (BCR) of the lymphoma clonotype and the microenvironmental immune architecture are importan...
Humoral Immune Responses after an Omicron-Adapted Booster BNT162b2 Vaccination in Patients with Lymphoid Malignancies.
Viruses
Dec 20, 2023
To accommodate waning COVID-19 vaccine immunity to emerging SARS-CoV-2 variants, variant-adapted mRNA vaccines have been introduced. Here, we examine serological responses to the BA.1 and BA.4-5 Omicron variant-adapted BNT162b2 COVID-19 vaccines in p...
Broadening the horizon: potential applications of CAR-T cells beyond current indications.
Frontiers in immunology
Nov 27, 2023
Engineering immune cells to treat hematological malignancies has been a major focus of research since the first resounding successes of CAR-T-cell therapies in B-ALL. Several diseases can now be treated in highly therapy-refractory or relapsed condit...
Class-imbalanced complementary-label learning via weighted loss.
Neural networks : the official journal of the International Neural Network Society
Jul 28, 2023
Complementary-label learning (CLL) is widely used in weakly supervised classification, but it faces a significant challenge in real-world datasets when confronted with class-imbalanced training samples. In such scenarios, the number of samples in one...
Automated quantification of measurable residual disease in chronic lymphocytic leukemia using an artificial intelligence-assisted workflow.
Cytometry. Part B, Clinical cytometry
Feb 23, 2023
Detection of measurable residual disease (MRD) in chronic lymphocytic leukemia (CLL) is an important prognostic marker. The most common CLL MRD method in current use is multiparameter flow cytometry, but availability is limited by the need for expert...
Quantitative features to assist in the diagnostic assessment of chronic lymphocytic leukemia progression.
The Journal of pathology
Feb 3, 2022
The use of artificial intelligence methods in the image-based diagnostic assessment of hematological diseases is a growing trend in recent years. In these methods, the selection of quantitative features that describe cytological characteristics plays...
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