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Enhancing Access and Reproducibility of AML Flow Cytometry Data Analysis through Machine Learning Based Automated Cross-Panel Classification at Sample and Cell Level
Abstract
● There is considerable variation among cytometry reagents, instruments and analysis approaches used for hematological disease diagnosis and monitoring.
● We previously demonstrated that our approach is adaptable across different instruments for sample level classification model development.
● In this study, we combined three different panels: ClearLLab10C, Euroflow AML/MDS and a UPMC diagnostic panel to demonstrate the feasibility of developing sample and cell level classification models thats instrument and reagent agnostic.
Conference