Adding Low-Fidelity Data to ML Training Sets Could Yield Better Process Models

Low-fidelity trend information should be incorporated into the data sets used to train machine learning-based biopharmaceutical process models, according to new analysis, which suggests the approach could also help identify the most manufacturable drug candidates. The post Adding Low-Fidelity Data…

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