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Contemporary Challenges in Clinical Flow Cytometry: Small Samples, Big Data, Little Time.

Jonathan Robert BrestoffJohn L Frater
Published in: The journal of applied laboratory medicine (2022)
Improvements in analytical technology, in tandem with innovations in data analysis, data storage, and reporting mechanisms, help to optimize the quality of clinical flow cytometry. These improvements are essential because of the expanding role of flow cytometry in patient care.
Keyphrases
  • flow cytometry
  • big data
  • data analysis
  • artificial intelligence
  • machine learning
  • electronic health record
  • adverse drug
  • deep learning
  • quality improvement