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Optimizing Protein Engineering Through Innovative Data Integration
This chapter explores how a company leverages public and proprietary datasets to improve their machine learning models in protein engineering. It highlights the importance of combining internal and customer-generated data to optimize learning systems and accelerate lead optimization in biopharma.