For decades, bioprocess development has relied on fixed recipes, designed upfront and executed without the ability to adapt. But biology doesn’t follow a script. Conditions shift, variability emerges, and even the best models become outdated the moment a run begins.
What if your process could adapt in real time?
In a collaboration between Ark and Culture Biosciences, adaptive digital twins paired with an API-native bioreactor, Stratyx, enabled true closed-loop optimization, delivering a 43% improvement in titer over the historical best.
This marks a shift from static processes to systems that learn and improve as they run. Read the technical bulletin to learn more.
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