Published May 14, 2024 | Version v1
Preprint Open

Artificial intelligence and machine learning applications for cultured meat

  • 1. Todhunter Scientifics
  • 2. Alberta Machine Intelligence Institute
  • 3. ROR icon University of Waterloo
  • 4. New Harvest


Cultured meat has the potential to provide a complementary meat industry with reduced environmental, ethical, and health impacts. However, major technological challenges remain which require time- and resource-intensive research and development efforts. Machine learning has the potential to accelerate cultured meat technology by streamlining experiments, predicting optimal results, and reducing experimentation time and resources. However, the use of machine learning in cultured meat is in its infancy. This review covers the work available to date on the use of machine learning in cultured meat and explores future possibilities. We address four major areas of cultured meat research and development: establishing cell lines, cell culture media design, microscopy and image analysis, and bioprocessing and food processing optimization. This review aims to provide the foundation necessary for both cultured meat and machine learning scientists to identify research opportunities at the intersection between cultured meat and machine learning. 

This article also includes a survey of datasets with potential relevance to cultured meat, hosted at


This is a preprint and has not been peer-reviewed. The article is currently under review. 


Preprint_Review_Artificial intelligence and machine learning applications.pdf