Standardization of platelet releasate products for clinical applications in cell therapy: a mathematical approach.

Francesco AgostiniJerry PoleselMonica BattistonElisabetta LombardiStefania ZanolinAlessandro Da PonteGiuseppe AstoriCristina DuranteMario Mazzucato

Published in: Journal of translational medicine (2017)

Results deriving from our algorithm and from validation utilizing real SRGF pools demonstrated that pooling n = 16 single-donor SRGF products can ameliorate variability of final growth factor concentrations. Different pools of n = 16 single donor SRGF displayed consitent capability to modulate growth and differentiation potential of expanded ASC. Increasing the pool size should not further improve product composition.

Keyphrases

growth factor
cell therapy
stem cells
machine learning
deep learning
risk assessment
nlrp inflammasome
neural network
bone marrow