AIMC Topic: Hematologic Neoplasms

Clear Filters Showing 41 to 46 of 46 articles

Unsupervised flow cytometry analysis in hematological malignancies: A new paradigm.

International journal of laboratory hematology Jul 1, 2021
Ever since hematopoietic cells became "events" enumerated and characterized in suspension by cell counters or flow cytometers, researchers and engineers have strived to refine the acquisition and display of the electronic signals generated. A large a...
Disease Progression Computational Biology Algorithms Hematologic Neoplasms Unsupervised Machine Learning Flow Cytometry Bone Marrow Models, Theoretical Cluster Analysis Humans Software
View on PubMed DOI

Augmented Human Intelligence and Automated Diagnosis in Flow Cytometry for Hematologic Malignancies.

American journal of clinical pathology Mar 15, 2021
OBJECTIVES: Clinical flow cytometry is laborious, time-consuming, and expensive given the need for data review by highly trained personnel such as technologists and pathologists as well as the significant number of normal cases. Given these issues, a...
Flow Cytometry B-Lymphocytes Humans Hematologic Neoplasms Machine Learning Diagnosis, Computer-Assisted
View on PubMed DOI

Machine learning in haematological malignancies.

The Lancet. Haematology Jul 1, 2020
Machine learning is a branch of computer science and statistics that generates predictive or descriptive models by learning from training data rather than by being rigidly programmed. It has attracted substantial attention for its many applications i...
Machine Learning Algorithms Hematologic Neoplasms Humans Neural Networks, Computer
View on PubMed DOI

Predicting Acute Graft-Versus-Host Disease Using Machine Learning and Longitudinal Vital Sign Data From Electronic Health Records.

JCO clinical cancer informatics Feb 1, 2020
PURPOSE: Acute graft-versus-host disease (aGVHD) remains a significant complication of allogeneic hematopoietic cell transplantation (HCT) and limits its broader application. The ability to predict grade II to IV aGVHD could potentially mitigate morb...
Transplantation, Homologous Vital Signs Graft vs Host Disease Hematopoietic Stem Cell Transplantation Child ROC Curve Humans Longitudinal Studies Machine Learning Follow-Up Studies Biomarkers Middle Aged Adolescent Prognosis Infant Child, Preschool Young Adult Female Adult Aged Retrospective Studies Survival Rate Hematologic Neoplasms Electronic Health Records Male
View on PubMed DOI

Machine Learning Models Improve the Diagnostic Yield of Peripheral Blood Flow Cytometry.

American journal of clinical pathology Jan 2, 2020
OBJECTIVES: Peripheral blood flow cytometry (PBFC) is useful for evaluating circulating hematologic malignancies (HM) but has limited diagnostic value for screening. We used machine learning to evaluate whether clinical history and CBC/differential p...
Flow Cytometry Lymphocyte Count Female Logistic Models Aged Triage Machine Learning Humans Algorithms Aged, 80 and over Hematologic Neoplasms Male Adult Middle Aged
View on PubMed DOI

Hyperbaric oxygen with cord blood transplants: Filling the donor gap.

The National medical journal of India Jan 1, 2017
Aljitawi OS, Paul S, Ganguly A, Lin TL, Ganguly S, Vielhauer G, Capitano ML, Cantilena A, Lipe B, Mahnken JD, Wise A, Berry A, Singh AK, Shune L, Lominska C, Abhyankar S, Allin D, Laughlin M, McGuirk JP, Broxmeyer HE. (Division of Hematologic Maligna...
Fetal Blood Neutrophils Hyperbaric Oxygenation Humans Allografts Blood Platelets Hematologic Neoplasms
View on PubMed DOI
Popular Topics
Recent Journals