Originally Published in Pharma Manufacturing Magazine - Pharma Innovation Awards
Winning Technologies for a Bright Pharma Future
Our first winner leverages artificial intelligence and mechanistic knowledge to enable cell culture performance prediction. Yokogawa Insilico Biotechnology released its Insilico Digital Twin Factory, which can help drugmakers increase productivity and bring down manufacturing costs and time to market by potentially replacing up to 50% of the experiments needed during the process development, characterization and scale-up of biopharmaceuticals.
The digital twins use an advanced hybrid blueprint formed from a mechanistic model of the unique characteristics of an intracellular metabolic network and a data-driven model to allow for the constant prediction of elements such as the soft sensing of substance components that cannot be measured directly, or the early detection of process abnormalities.
YOKOGAWA INSILICO BIOTECHNOLOGY - Insilico Digital Twin Factory
Last year, Yokogawa Insilico released its “Insilico Advisor,” to help improve the efficiency of biologics manufacturing by providing for model predictive monitoring of the cell culture process.
Another significant development challenge facing the industry is poor solubility, especially when it comes to antibody-drug conjugates (ADCs). This emerging class of medicines — designed to target and destroy cancer cells while preserving healthy cells — can fail in the clinic due to poor aqueous solubility.
