Episode: 70 - Views on Machine Learning and AI in the Antibody and Protein Engineering Space
The Chain: Protein Engineering Podcast
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Navigating Data Challenges in Biotech
This chapter explores the difficulties of accessing and curating high-quality data in antibody and protein engineering. It emphasizes the complexities of integrating diverse data modalities and the critical need for experimental validation amidst advancements in machine learning and AI. The conversation also highlights the implications of patient variability and the challenges of the peer-review process in advancing scientific research.
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