Foundation models are machine learning models trained on large datasets and applicable for a wide range of use cases. Chief Editor Barbara Cheifet speaks with Drs. Brian Hie and Marie Lopez about how these models are being used for analysis of the function and structure of DNA, RNA, and proteins, and how they are being developed for clinical use. Hosted on Acast. See acast.com/privacy for more information.
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