We collaborate with academic researchers and apply our technology to their problems to demonstrate our capabilities, accelerate state-of-the-art research, and solve difficult problems facing humanity and the environment. Excerpts from some of our published and upcoming works are available below.
Alternative protein companies are growing now more rapidly than ever, labs are looking for tools to scale up their processes and optimize product yield. Traditional research and development at the bench may take a long time to see small improvements in results. A simulated computational approach from FrankenTech allows research labs to model a biological system, at any level ranging from environmental inputs to protein expression pathways, to manipulate with different inputs. In this workflow, FrankenTech delivers tools to companies, drastically improving their optimization strategy and reducing troubleshooting time through a client- or user-focused approach to generate hypotheses about which concentration of glucose to feed cells, or which genomic design will generate the most product.
Commercial food production has been changing at one of the fastest paces in its 80 year history since the implementation of factory farms, thanks to the introduction of cell culture techniques to grow animal cells in vitro for human consumption (Swartz 2020). Improvements for bigger bioreactors and stronger vector design, with no aberration, has driven huge growth in cell culture techniques.
The original presentation whereby the APES framework was described and business case for FrankenTech laid out. It was delivered at Chicago Machine Learning to a crowd of dozens of machine learning engineers and researchers, who posed insightful questions and received satisfying answers.