Machine learning or artificial intelligence can be used to effectively analyze flow cytometry data from hematologic malignancies. Here we review three main methods in machine learning: …

Mar 16, 2023 · Abstract: Flow cytometry mainly used for detecting the characteristics of a number of biochemical substances based on the expression of specific markers in cells. It is …

Nov 2, 2023 · Here we present a new ML-based algorithm for automated cell-type labeling. Our supervised ML approach allows us to classify every event in a flow cytometry data file solely …

May 29, 2023 · In this review, the authors discuss the fundamental principles of machine learning. They explore recent studies and approaches in implementing machine learning into flow …

Mar 1, 2023 · Here we review the diverse types of AI that are being applied to clinical cytometry data and how AI is driving advances in data analysis to improve diagnostic sensitivity and …

Here we report our examination of three previously published machine learning methods for classification of flow cytometry data and apply these to a B-cell neoplasm dataset to obtain …

Feb 1, 2025 · Machine learning or artificial intelligence can be used to effectively analyze flow cytometry data from hematologic malignancies. Here we review three main methods in …

Jan 1, 2011 · In this thesis, we present novel machine learning methods for flow cytometry data analysis to address these issues. We first begin by a method for generating a high …

In this review, we discuss different machine learning approaches for analyzing flow cytometry data and the challenges faced by these approaches. We also highlight the importance of publicly …

Jul 25, 2023 · This blog post outlines four primary methods by which ML aids in the processing of flow cytometry data. Flow cytometry (FC) is a technique that enables high-throughput analysis …