Solving Reproducibility Challenges in Biotech with Harry Rickerby

Data in Biotech is a fortnightly podcast exploring how companies leverage data innovation in life sciences. 

This week, we’re delighted to be joined by Harry Rickerby, Co-founder of Briefly Bio, a groundbreaking platform he's developing to streamline experimental design in life sciences using large language models (LLMs).

Host Ross Katz speaks with Harry about how LLMs are used to facilitate experiment protocol structuring in the platform, the limitations of LLMs in scientific fields, how we can improve collaboration, consistency, and reproducibility in biotech, and how metadata is generated within the experimental design process while interacting with an LLM.

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Visit connect.corrdyn.com/biotech to learn more.