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Smart Biotech Scientist | Master Bioprocess CMC Development, Biologics Manufacturing & Scale-up for Busy Scientists
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05: Hybrid Modeling: The Key to Smarter Bioprocessing w/ Michael Sokolov - Part 1
Manage episode 383675191 series 3525243
Contenuto fornito da David Brühlmann: Biotech Entrepreneur & Cell Culture Technology Innovation Aficionado, David Brühlmann: Biotech Entrepreneur, and Cell Culture Technology Innovation Aficionado. Tutti i contenuti dei podcast, inclusi episodi, grafica e descrizioni dei podcast, vengono caricati e forniti direttamente da David Brühlmann: Biotech Entrepreneur & Cell Culture Technology Innovation Aficionado, David Brühlmann: Biotech Entrepreneur, and Cell Culture Technology Innovation Aficionado o dal partner della piattaforma podcast. Se ritieni che qualcuno stia utilizzando la tua opera protetta da copyright senza la tua autorizzazione, puoi seguire la procedura descritta qui https://it.player.fm/legal.
In this insightful conversation, we explore how to accelerate bioprocess development and enhance manufacturing using hybrid modeling. Our guest, Michael Sokolov, COO of DataHow (a spin-off company from ETH Zurich), shares valuable insights.
Discover the three major takeaways that could transform the bioprocessing industry:
1. Unlocking the Power of Hybrid Modeling: Michael Sokolov introduces the revolutionary concept of hybrid modeling, which combines mechanistic knowledge with machine learning to expedite bioprocess development.
2. Accelerating Process Development: Learn how hybrid modeling can speed up your bioprocessing efforts, potentially allowing you to reduce the number of experiments by 60-80%, saving valuable time and resources.
3. Data-Driven Decision Making: Gain insights into how this approach enables data-driven decision making in the unpredictable world of biotech. It provides a deep understanding and empowers scientists to make informed choices.
Don't miss this episode for a comprehensive guide to smarter and more efficient bioprocessing!
Connect with Michael Sokolov:
Website: www.datahow.ch
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