Results from real bioprocesses
CDMOs, biopharma and industrial biotech teams have used Novasign Studio to run fewer experiments, reach higher yield and activity, and control a continuous process with hybrid models.
Bespark*bio
Experiment reduction and optimization
A model trained on 8 runs instead of 22 made the same decisions for optimizing a viral-vector process as one trained on the full campaign.
64% fewer experiments, about €40,000 of raw material and 12 weeks saved.
Bisy
Industrial process optimization
Two rounds of designed experiments optimized a Komagataella phaffii process for an industrial enzyme.
Enzymatic activity increased 2.4-fold.
Arkeon
Optimization and scale-up
A designed campaign, model-proposed conditions and validation runs, followed by a scale-up prediction.
5.3-fold specific yield at 150 L over the initial process, and a successful scale-up.
Repligen
Matching CQAs for biosimilars
A biosimilar process was designed for a target glycan pattern, with Repligen’s process analytics integrated.
A design space for glycoform and glycation, mapped from five experiments and a hybrid model.
ECONTI consortium
E2E process
Hybrid models of four unit operations ran inside the automation platform of a continuous E. coli process and set the chromatography switching of the next cycle.
Intensified DoE raised the upstream titer by 60% over the original process conditions, and the process ran end to end with model-based control.
Peer-reviewed publications
The methods behind Novasign Studio are published in peer-reviewed journals, many of them together with our academic and industrial partners. Every paper is listed with its DOI.
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