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Active Learning in Cryopreservation Studies by sfreire is a document available to read on EtoBox.
What is Active Learning in Cryopreservation Studies about?
This paper discusses the application of active learning and Gaussian processes to study the effects of elevated temperatures on the postcryopreservation integrity of Mesenchymal Stem Cells (MSCs). The authors developed an algorithm to optimize sampling locations in experiments, revealing that elevated temperatures during cryopreservation significantly harm cell integrity. The findings underscore the importance of maintaining optimal temperature conditions to prevent cryoinjury and ensure the viability of st
- Author
- sfreire
- Language
- EN