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Deep technology for the optimization of cryostorage

  • Technological Innovations
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Abstract

Cryopreservation, for many reasons, has assumed a central role in IVF treatment cycles, which has resulted in rapidly expanding cryopreserved oocyte and embryo inventory of IVF clinics. We aspire to consider how and with what resources and tools “deep” technology can offer solutions to these cryobiology programs. “Deep tech” has been applied as a global term to encompass the most advanced application of big data analysis for the most informed construction of algorithms and most sophisticated instrument design, utilizing, when appropriate and possible, models of automation and robotics to realize all opportunities for highest efficacy, efficiency, and consistency in a process.

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Authors and Affiliations

  1. Brigham and Women’s Hospital, Boston, MA, USA

    Kathryn J. Go

  2. Harvard Medical School, Boston, MA, USA

    Kathryn J. Go

  3. TMRW Life Sciences, Inc., New York, NY, USA

    Cynthia Hudson

Authors
  1. Kathryn J. Go
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  2. Cynthia Hudson
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Correspondence to Cynthia Hudson.

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Cynthia Hudson is an employee of TMRW Life Sciences, Inc. Kathryn J. Go, PhD., H.C.L.D., none.

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Go, K.J., Hudson, C. Deep technology for the optimization of cryostorage. J Assist Reprod Genet 40, 1829–1834 (2023). https://doi.org/10.1007/s10815-023-02814-y

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  • DOI: https://doi.org/10.1007/s10815-023-02814-y

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