AIMC Topic: Leukemia, Lymphocytic, Chronic, B-Cell

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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...
Bone Marrow High-Throughput Nucleotide Sequencing Immunohistochemistry East Asian People Mutation Humans Flow Cytometry Machine Learning Retrospective Studies CD5 Antigens Leukemia, Lymphocytic, Chronic, B-Cell Lymphoma, Mantle-Cell Lymphoma, B-Cell Leukemia, Hairy Cell Neprilysin Waldenstrom Macroglobulinemia Lymphoma, Follicular
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Artificial intelligence assisted diagnosis of chronic lymphocytic leukemia in a historic pediatric case using large language models.

Annals of hematology Jul 29, 2024
Humans Child Artificial Intelligence Leukemia, Lymphocytic, Chronic, B-Cell Diagnosis, Computer-Assisted
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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...
Humans Machine Learning Lymphoma, B-Cell Receptors, Antigen, B-Cell Computational Biology Algorithms B-Lymphocytes High-Throughput Nucleotide Sequencing Leukemia, Lymphocytic, Chronic, B-Cell Lymphoma, Large B-Cell, Diffuse
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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...
Humans Immunoglobulin G Leukemia, Lymphocytic, Chronic, B-Cell COVID-19 Vaccines Immunity, Humoral Antibodies, Viral BNT162 Vaccine Vaccination Antibodies, Neutralizing
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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...
Tumor Microenvironment T-Lymphocytes Humans Leukemia, Lymphocytic, Chronic, B-Cell Receptors, Chimeric Antigen Artificial Intelligence Leukemia, Myeloid, Acute Hematologic Neoplasms Adult Lymphoma, Large B-Cell, Diffuse
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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...
Machine Learning Leukemia, Lymphocytic, Chronic, B-Cell Humans
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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...
Workflow Neoplasm, Residual Humans Artificial Intelligence Leukemia, Lymphocytic, Chronic, B-Cell Flow Cytometry
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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...
Leukemia, Lymphocytic, Chronic, B-Cell Image Processing, Computer-Assisted Neural Networks, Computer Artificial Intelligence Machine Learning Humans
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Dynamic Bayesian networks for prediction of health status and treatment effect in patients with chronic lymphocytic leukemia.

Scientific reports Feb 2, 2022
Chronic lymphocytic leukemia (CLL) is the most common blood cancer in adults. The course of CLL and patients' response to treatment are varied. This variability makes it difficult to select the most appropriate treatment regimen and predict the progr...
Bayes Theorem Health Status Indicators Humans Artificial Intelligence Decision Support Techniques Clinical Decision-Making Risk Assessment Treatment Outcome Female Leukemia, Lymphocytic, Chronic, B-Cell Disease Progression Health Status Risk Factors Male Time Factors Predictive Value of Tests Aged Middle Aged
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Artificial intelligence strategy integrating morphologic and architectural biomarkers provides robust diagnostic accuracy for disease progression in chronic lymphocytic leukemia.

The Journal of pathology Oct 25, 2021
Artificial intelligence-based tools designed to assist in the diagnosis of lymphoid neoplasms remain limited. The development of such tools can add value as a diagnostic aid in the evaluation of tissue samples involved by lymphoma. A common diagnosti...
Disease Progression Cell Transformation, Neoplastic Prognosis Lymphoma, Large B-Cell, Diffuse Female Male Adult Humans Aged Middle Aged Biomarkers, Tumor Leukemia, Lymphocytic, Chronic, B-Cell Artificial Intelligence
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