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Clinically validated machine learning algorithm for detecting residual diseases with multicolor flow cytometry analysis in acute myeloid leukemia and myelodysplastic syndrome
Bor‐Sheng Ko, Yu‐Fen Wang, Jeng-Lin Li, Chi‐Cheng Li +15
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SystemMFC
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- System
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Abstract
Through large-scaled clinical validation, we showed that AI algorithms can produce efficient and clinically-relevant MFC analysis. This approach also possesses a great advantage of the ability to integrate other clinical tests. FUND: This work was supported by the Ministry of Science and Technology (107-2634-F-007-006 and 103-2314-B-002-185-MY2) of Taiwan.
Keywords
Myeloid leukemiaFlow cytometryMyelodysplastic syndromesMyeloidResidualLeukemia
Identifiers
- PubMed
- 30361063
- Journal
- EBioMedicine
- Year
- 2018