#414: Will Machine Learning Overtake Traditional Nutrition Research Methods?

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Recorded24 Nov 2021

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Handlerec:8153004

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In this episode, the Sigma team discuss the claim that machine learning and data science may overtake traditional research methods in nutrition. They discuss how machine learning could solve some current limitations of traditional methods, studies on its use so far, potential applications in future trials, and potential limitations or problems with the increased use of data science (including ethical and societal concerns). They also ponder on how tech is currently being used (and abused) in relation to personalised nutrition, tech products, continuous glucose monitoring use, among other things.

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“What did the council decide on item 42?” — answered with the speaker and the moment.

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