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

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Artificial intelligence models in chronic lymphocytic leukemia - recommendations toward state-of-the-art.

Leukemia & lymphoma Oct 6, 2021
Artificial intelligence (AI), machine learning and predictive modeling are becoming enabling technologies in many day-to-day applications. Translation of these advances to the patient's bedside for AI assisted interventions is not yet the norm. With ...
Humans Leukemia, Lymphocytic, Chronic, B-Cell Artificial Intelligence Machine Learning Algorithms
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IoMT-Based Automated Detection and Classification of Leukemia Using Deep Learning.

Journal of healthcare engineering Dec 3, 2020
For the last few years, computer-aided diagnosis (CAD) has been increasing rapidly. Numerous machine learning algorithms have been developed to identify different diseases, e.g., leukemia. Leukemia is a white blood cells- (WBC-) related illness affec...
Machine Learning COVID-19 Algorithms Leukemia, Myeloid, Acute Diagnosis, Computer-Assisted Databases, Factual Leukemia, Lymphocytic, Chronic, B-Cell Leukemia, Myelogenous, Chronic, BCR-ABL Positive Humans Leukemia Neural Networks, Computer Internet of Things Deep Learning Pattern Recognition, Automated Precursor Cell Lymphoblastic Leukemia-Lymphoma Diagnostic Imaging Cloud Computing Telemedicine
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Hematologist-Level Classification of Mature B-Cell Neoplasm Using Deep Learning on Multiparameter Flow Cytometry Data.

Cytometry. Part A : the journal of the International Society for Analytical Cytology Jun 9, 2020
The wealth of information captured by multiparameter flow cytometry (MFC) can be analyzed by recent methods of computer vision when represented as a single image file. We therefore transformed MFC raw data into a multicolor 2D image by a self-organiz...
Immunophenotyping B-Lymphocytes Lymphoma, B-Cell Leukemia, Lymphocytic, Chronic, B-Cell Deep Learning Flow Cytometry Artificial Intelligence Adult Humans
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Machine learning can identify newly diagnosed patients with CLL at high risk of infection.

Nature communications Jan 17, 2020
Infections have become the major cause of morbidity and mortality among patients with chronic lymphocytic leukemia (CLL) due to immune dysfunction and cytotoxic CLL treatment. Yet, predictive models for infection are missing. In this work, we develop...
Cohort Studies Benchmarking Infections Kaplan-Meier Estimate Male Middle Aged Antineoplastic Agents Risk Factors Aged Leukemia, Lymphocytic, Chronic, B-Cell Humans Databases, Factual Female Machine Learning Algorithms
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Machine learning applications in the diagnosis of leukemia: Current trends and future directions.

International journal of laboratory hematology Sep 9, 2019
Machine learning (ML) offers opportunities to advance pathological diagnosis, especially with increasing trends in digitalizing microscopic images. Diagnosing leukemia is time-consuming and challenging in many areas globally and there is a growing tr...
Leukemia Humans Machine Learning Leukemia, Myeloid, Acute Algorithms Precursor Cell Lymphoblastic Leukemia-Lymphoma Leukemia, Lymphocytic, Chronic, B-Cell Leukemia, Myelogenous, Chronic, BCR-ABL Positive
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Automatic data source identification for clinical trial eligibility criteria resolution.

AMIA ... Annual Symposium proceedings. AMIA Symposium Feb 10, 2017
Clinical trial coordinators refer to both structured and unstructured sources of data when evaluating a subject for eligibility. While some eligibility criteria can be resolved using structured data, some require manual review of clinical notes. An i...
Heart Failure Leukemia, Lymphocytic, Chronic, B-Cell Humans Eligibility Determination Information Storage and Retrieval Natural Language Processing Machine Learning Clinical Trials as Topic Patient Selection Electronic Health Records
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Design of Biomedical Robots for Phenotype Prediction Problems.

Journal of computational biology : a journal of computational molecular cell biology Jun 27, 2016
Genomics has been used with varying degrees of success in the context of drug discovery and in defining mechanisms of action for diseases like cancer and neurodegenerative and rare diseases in the quest for orphan drugs. To improve its utility, accur...
Leukemia, Lymphocytic, Chronic, B-Cell Drug Discovery Artificial Intelligence Sequence Analysis, DNA Robotics Software Phenotype Humans Mutation Biomarkers Amyotrophic Lateral Sclerosis Prognosis Myositis, Inclusion Body
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Protein Profiles Predict Treatment Responses to the PI3K Inhibitor Umbralisib in Patients with Chronic Lymphocytic Leukemia.

Clinical cancer research : an official journal of the American Association for Cancer Research May 15, 2025
PURPOSE: The management of chronic lymphocytic leukemia (CLL) has significantly improved with targeted therapies. However, many patients experience a suboptimal response. To optimally select the best therapy, predictive biomarkers are necessary. In t...
Leukemia, Lymphocytic, Chronic, B-Cell Humans Male Female Middle Aged Protein Kinase Inhibitors Antineoplastic Combined Chemotherapy Protocols Treatment Outcome Aged Benzamides Agammaglobulinaemia Tyrosine Kinase Pyrazines Aged, 80 and over Phosphoinositide-3 Kinase Inhibitors Phosphatidylinositol 3-Kinases Biomarkers, Tumor
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Investigating AI Approaches for Survival Prediction in Chronic Lymphocytic Leukemia.

Studies in health technology and informatics Apr 8, 2025
Chronic lymphocytic leukemia (CLL) exhibits a heterogeneous clinical course. Prognostic markers that impact patient outcomes have been identified, including MYC gene abnormalities. This study investigates machine learning (ML) models for predicting s...
Leukemia, Lymphocytic, Chronic, B-Cell Male Decision Trees Survival Analysis Machine Learning Proportional Hazards Models Female Humans Prognosis Aged Artificial Intelligence
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A Conformal Prediction Approach to Enhance Predictive Accuracy and Confidence in Machine Learning Application in Chronic Diseases.

Studies in health technology and informatics Aug 22, 2024
Heterogeneity in chronic malignancies raises an increasing interest for the integration and study of predictive models. This study presents a machine learning model approach to predict outcomes and improve their trustworthiness in multi-factorial dis...
Humans Machine Learning Leukemia, Lymphocytic, Chronic, B-Cell Chronic Disease
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