Smart biomanufacturing for health equity in regenerative medicine therapies

Limited scalability and restricted affordability impede the equitable deployment of curative models of care despite advances achieved with regenerative medicine therapeutics. Mitigating the risk of widening health disparities mandates actions that would improve the availability and accessibility of new classes of biotherapeutics. Namely, the use of Smart Manufacturing empowered by artificial intelligence to increase therapeutic production capacity while reducing cost is an emerging strategy central to the future of the regenerative care economy. Establishing an efficient and effective biomanufacturing ecosystem is essential to building regenerative pipelines into broadly available regenerative therapeutics options. This ecosystem must provide not only necessary cell environment controls and computer process power, but also the sensing technologies to feed critical process parameters to the algorithms in real-time. Here we outline key elements that are in development to support Smart Biomanufacturing, such as machine learning, advanced analytics, digital twins, and modular cytocentric production. The aim of integrating these technologies is to drive down costs, improve access to new regenerative medicine therapeutics, address regulatory science expectations, and in doing so, improve health equity.

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Publication Details

Journal
Regenerative medicine reports .
Published
2025-03-01
DOI
https://doi.org/10.4103/regenmed.regenmed-d-24-00021
Citations
1
Primary Topic
3D Printing in Biomedical Research
Type
article
Field-Weighted Citation Impact
0.67
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article

Smart biomanufacturing for health equity in regenerative medicine therapies

Kersti Alm, Alicia D. Henn, Steven R. Bauer, Mark Wolff et al.
1 citations
Regenerative medicine reports .
3D Printing in Biomedical Research
0.67
article

Smart biomanufacturing for health equity in regenerative medicine therapies

Kersti Alm, Alicia D. Henn, Steven R. Bauer, Mark Wolff, Randy Yerden, Kunal Mitra, André Terzic, Isaac Finger-Baker
article en
1 citations

Abstract

Limited scalability and restricted affordability impede the equitable deployment of curative models of care despite advances achieved with regenerative medicine therapeutics. Mitigating the risk of widening health disparities mandates actions that would improve the availability and accessibility of new classes of biotherapeutics. Namely, the use of Smart Manufacturing empowered by artificial intelligence to increase therapeutic production capacity while reducing cost is an emerging strategy central to the future of the regenerative care economy. Establishing an efficient and effective biomanufacturing ecosystem is essential to building regenerative pipelines into broadly available regenerative therapeutics options. This ecosystem must provide not only necessary cell environment controls and computer process power, but also the sensing technologies to feed critical process parameters to the algorithms in real-time. Here we outline key elements that are in development to support Smart Biomanufacturing, such as machine learning, advanced analytics, digital twins, and modular cytocentric production. The aim of integrating these technologies is to drive down costs, improve access to new regenerative medicine therapeutics, address regulatory science expectations, and in doing so, improve health equity.

Regenerative medicine reports .Vol. 2(1)
Forest Institute (US), Florida Institute of Technology (US), SAS Institute (United States) (US), Mayo Clinic (US), Wake Forest University (US)
Openalex Percentile: Top 34%
3D Printing in Biomedical Research
0.67
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Smart biomanufacturing for health equity in regenerative medicine therapies — Kersti Alm, Alicia D. Henn, et al. · Regenerative medicine reports . (2025) | TGRS Research Map | TGRS