Using machine learning to improve fish growth media
Dr. Ovissipour at Virginia Tech is applying machine learning techniques to develop and optimize low-cost serum free growth media for seafood cell lines.
PRODUCTION PLATFORM: Cultivated
TECHNOLOGY SECTOR: Cell culture media
This project uses Response Surface Methodology and Artificial Neural Networks to produce an optimized media formulation for culturing stem cells from fish. It also creates predictive models that will guide and hasten future media optimization efforts.
This work will produce optimized media formulations that accelerate future research on cultivated seafood. It will also inform future efforts to optimize media for different species and cell types.
Dr. Reza Ovissipour
Assistant Professor, Virginia Tech, USA
Dr. Ovissipour has extensive experience in both conventional aquaculture and the use of mathematical modeling techniques for optimization.
PhD student, Virginia Tech, USA
Inayat Batish has a background in cell culture research and mathematical modeling.
MSc student, Virginia Tech, USA
Thet Aung has a background in food science and sustainability.
Dr. Lexi Duscher
Postdoctoral Associate, Virginia Tech, USA
Sustainable Seafood Initiative
Learn how plant-based, fermentation-derived, and cultivated seafood can improve the health and sustainability of oceans.
View related grant projects
Learn about Dr. Peter Stogios’ research engineering improved and lower-cost growth factors for cultivated meat at University of Toronto.
Learn about Dr. Kevan Main and Dr. Cathy Walsh’s work at Mote Marine Laboratory to develop cell lines and methodology for cultivated seafood.
Learn about Dr. Connon and Dr. Gouveia’s work at Newcastle University, UK to formulate growth media for cultivated meat with macromolecular crowding.
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