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Development of a robotic cluster for automated and scalable cell therapy manufacturing.

Alice MelocchiBrigitte SchmittleinAlexis L JonesYasmine AinaneAli RizviDarius ChanElaine DickeyKelsey PoolKenny HarsonoDorothy SzymkiewiczUmberto ScarfoglieroVarun BhatiaAmlesh SivananthamNadia KreciglowaAllison HunterMiguel GomezAdrian TannerMarco UboldiArpit BatishJoanna BalcerekMariella Kutova-StoilovaSreenivasan ParuthiyilLuis A AcevedoRachel StadnitskiySabrina CarmichaelHolger AulbachMatthew HewittXavier De Mollerat Du JeuBenedetta di RobilantFederico PariettiJonathan H Esensten
Published in: Cytotherapy (2024)
Such modular robotic solutions may support scale-up and scale-out of cell therapies that are developed using classical manual methods in academic laboratories and biotechnology companies. This approach offers a pathway for overcoming manufacturing challenges associated with manual processes, ultimately contributing to the broader accessibility and affordability for personalized immunotherapies.
Keyphrases
  • cell therapy
  • stem cells
  • mesenchymal stem cells
  • minimally invasive
  • robot assisted
  • machine learning
  • deep learning
  • high throughput
  • single cell
  • bone marrow