De Novo Identification and Visualization of Important Cell Populations for Classic Hodgkin Lymphoma Using Flow Cytometry and Machine Learning.

Paul D SimonsonYue WuDavid WuJonathan R FrommAaron Y Lee

Published in: American journal of clinical pathology (2022)

The method presented enables model explainability while highlighting important cell populations in individual flow cytometry specimens, with potential applications in both diagnosis and discovery of previously overlooked key cell populations.

Keyphrases

flow cytometry
single cell
machine learning
hodgkin lymphoma
cell therapy
small molecule
stem cells
high throughput
bone marrow
risk assessment
mesenchymal stem cells
electron microscopy