403 - Hematopoietic Stem/Progenitor Cells and Engineering: A MACHINE LEARNING MODEL THAT INCORPORATES CD45 MEAN FLUORESCENCE INTENSITY (MFI) AND CELL COMPOSITION PREDICTS POOR VIABILITY OF HEMATOPOIETIC PROGENITOR CELLS AFTER FREEZE-THAW.
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| Title: | 403 - Hematopoietic Stem/Progenitor Cells and Engineering: A MACHINE LEARNING MODEL THAT INCORPORATES CD45 MEAN FLUORESCENCE INTENSITY (MFI) AND CELL COMPOSITION PREDICTS POOR VIABILITY OF HEMATOPOIETIC PROGENITOR CELLS AFTER FREEZE-THAW. |
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| Authors: | Al-Riyami, A.Z. (AUTHOR), Kadauke, S. (AUTHOR), Hanna, R.S. (AUTHOR), Azar, A. Pashmineh (AUTHOR), Maryamchik, E. (AUTHOR), Zheng, X. (AUTHOR), Zhang, X. (AUTHOR), Finn, C. (AUTHOR), Giacobbe, N. (AUTHOR), Rieser, R. (AUTHOR), Tahrir, F. Ghasemi (AUTHOR), Machietto, R. (AUTHOR), Choudhari, S. (AUTHOR), Wang, Y. (AUTHOR) |
| Source: | Cytotherapy (Elsevier Inc.). 2022 Supplement, Vol. 24 Issue 5, pS99-S100. 2p. |
| Database: | Academic Search Ultimate |
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