Blood-based metabolic signature outperforms standard method for predicting diet, disease risk

University of Michigan

The study found that machine learning techniques improved diet prediction by 10-20%.

  • Noah Fromson

When it comes to studying food and diet, it's difficult to know what people are eating - let alone their risk of disease caused by what they eat.

Doctors and researchers usually ask people to fill out a long-from food frequency questionnaire that estimates caloric intake, food groups and nutrients. That relies on a person's memory and may not provide the most accurate picture.

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