Blog

  • June 02, 2025

Interview : « L'expertise humaine est un précieux outil pour évaluer la fiabilité d'un modèle » (French)

Dans un article récemment publié par L’Usine Nouvelle (édition Industrie Pharma), Édouard Nicoud, co-CEO d’Ypso-Facto, présente notre approche méthodologique pour fiabiliser les bioprocédés : une combinaison rigoureuse entre modélisation prédictive, données expérimentales et...

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  • May 21, 2025

From exploration to expansion: refining process understanding through simulation

After identifying opportunities in the Explore phase, it’s time to go further.At Ypso-Facto, our Expand Package is designed to refine and enrich the mechanistic models developed during the first phase of collaboration. We build on the initial foundation to incorporate additional physical...

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  • February 17, 2025

Ever wanted to leverage mechanistic modeling but worried it’s too time-consuming?

At Ypso-Facto, we understand that diving into mechanistic modeling can feel overwhelming—especially when time and expertise are in short supply. That’s why we created the Explore Package, the perfect solution to kick-start your journey with minimal effort and maximum impact. What’s included?...

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  • June 05, 2024

Sanofi's experience with mechanistic modeling and Ypso-Ionic

Mechanistic models offer a robust alternative to traditional statistical methods because they require fewer experimental data and provide superior predictive capabilities, even outside of the conditions studied experimentally. We have implemented this method to the purification of complex viral...

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  • April 19, 2024

[French] Podcast : Optimisation des procédés pharmaceutiques

Notre podcast enregistré lors du Congrès Performance Environnementale de POLEPHARMA est maintenant disponible ! Dans cet épisode, Edouard Nicoud, Customer Success Manager à Ypso-Facto et Paul-Adrien Mathon échangent à propos de nos initiatives innovantes pour réduire la consommation de...

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  • February 05, 2024

Predicting the impact of buffer type and pH : Application to protein purification by IEX

 Challenge The challenge was inspired by the experimental data reported in Pabst et al. J. Chrom. A (2008) 1181, 83-94. A poor separation between two proteins, Serum Albumin (SA) and Serum Transferrin (ST), was observed (Fig. 1). The separation was performed on a weak cation exchange resin...

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  • January 19, 2024

Mechanistic modeling can help switch from batch to continuous: Myth or Fact?

Fact Once model parameters have been determined with a single column system, they can be used to perform simulations of multicolumn chromatography (MCC) with any number of columns. Calculating key performance indicators (KPIs) for both single and multicolumn systems can help to compare options and...

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  • January 09, 2024

Mechanistic modeling can help secure scale-up: Myth or Fact?

Fact Unlike statistical models which are based on correlations and are only valid for their calibration data set, mechanistic model parameters have an actual physical meaning and can be applied to different process setups and process scales. This gives you confidence in scaling up your...

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  • December 18, 2023

Reduced experimental work by 4 compared to DoE for an oligonucleotide ion exchange process

"GSK Engaged Ypso-Facto’s expertise, their Ypso-Ionic software and GPX approach to develop a mechanistic model of a complex ion-exchange purification process.   Compared with the classical statistical DoE approach, only 25% of the experimental work was required, but we also achieved much more,...

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Ypso-Facto is a service company helping industrial firms to develop, optimize and secure their chemical processes and bioprocesses.

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