RECORDED WEBINAR
Accelerate Scale-up with an innovative model-based AI approach.
Discover a new, more effective way to develop bioprocesses with AI technology
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Join Dr. Moritz von Stosch, CIO of DataHow, and Guilherme Ramos, Process modeling engineer at DataHow, as they explain how the vital scale-up challenge is simplified and accelerated using DataHow's AI technology and methods: hybrid models and transfer-learning.
Hybrid bioprocess models, which incorporate AI and machine learning, offer signifcantly faster learning within bioprocess development, supporting development acceleration and better process outcomes (robustness and yield). This technology allows process scientists to depart from a structured, yet inefficient, DoE methodology, to an an active learning approach which maximises insight, while minimizing experimental effort.
DataHow's transfer learning approach allows insights from small scale to be transfered to large scale, resulting in significant reduction of large scale experiments, and therefore time and cost. This approach can also be applied accross products, enabling siginificant development efficiencies on new developments.
These technologies and methods will be demonstrated through a real-world example, using a AI enabled bioprocess development software.
Key topics will include:
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Learn more about the application of AI technologies on bioprocessing
AI technology is changing how businesses are operating - so too in bioprocessing. Watch our other webinars on what this technology is, the benefits, and how it is practically applied to bioprocessing.
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