Food scientists offer data model for personalised dietary recommendations

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If the personalised diet recommendation proves to be effective, researchers would like to create a Netflix-like food system

With the support of a Data Science Investigator grant of DKK 9,267,806 from The Novo Nordisk Foundation, Associate Professor Morten Arendt Rasmussen from the Department of Food Science at the University of Copenhagen (UCPH FOOD) in Denmark will create a model for a new completely personalised dietary profile that could potentially relieve the symptoms of inflammatory diseases such as asthma by providing information about what is good and bad to eat in relation to the individual’s health status.

His research team will be using a cohort from the Danish COPSAC project – Copenhagen Prospective Studies on Asthma in Childhood, which focuses on asthma, but they expect that the model may also be relevant for other inflammatory diseases such as multiple sclerosis and rheumatoid arthritis.

Using two different methods, the researchers will end up with some large data sets that tell them how the young people’s metabolisms function and will reveal what is good for them, or not so good for them to eat and drink, respectively.

The researchers will then set up a model that can be used to create individualised diet recommendations based on knowing the individual’s genetics via a DNA test and metagenetics from a stool sample plus gender, age, height and weight.

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