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Episode: 62 - AI/ML in Antibody Discovery and Engineering: Reality, Hope, Future, and Hype

The Chain: Protein Engineering Podcast

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Challenges in Reproducibility of Algorithms and Mining Biomedical Literature for AI Prediction

This chapter addresses the obstacles surrounding the reproducibility of algorithms in antibody discovery and engineering, emphasizing the impact of experimental reproducibility on algorithm reliability. It also explores the complexities of interpreting biomedical literature, highlighting issues like missing data and assay uncertainty, while questioning the potential of AI in enhancing predictive capabilities through data mining.

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