ACCELERATING STRAINS AND NUTRIENTS SCREENING
THROUGH TRANSFER LEARNING
[CASE STUDY]

Screening strains and nutrients across scales is a major bottleneck in bioprocess development. Results at small scale don’t always translate to larger reactors—leading to time-consuming, resource-intensive validation phases.

Together with DataHow, Procelys explored how transfer learning can change the game. This collaboration bridges fermentation expertise and advanced hybrid modeling, opening new perspectives for faster, smarter bioprocess development.

Download the full case study to discover the methodology and results.