PERSONALIZED NUTRITION

Is it important to have personalized nutrition?

A diet suited to an individual’s needs can support health and wellbeing. Personalised nutrition explores how individual differences and life circumstances can inform dietary guidance.

The Ibermática Institute of Innovation (i3B) has created an artificial intelligence platform to extract millions of data generated from many aspects of nutrition.

The goal of this platform is to advance research in the field of culinary and personalized nutrition, which is a fundamental area in disease prevention. 

The platform allows data to be extracted (related to genomics, proteomics, metabolomics and microbiota – sports and health) to discover the relationships between all these variables, and obtain patterns that help companies in the sector to guide a completely personalized diet.

a little history

Dietary guidelines offer recommendations for population groups. Personalised nutrition investigates how individual information can complement that guidance, without replacing professional advice where needed.

Research in this field must establish which information actually improves recommendations, for whom and under what conditions. Having more data does not, by itself, guarantee better health outcomes.

How artificial intelligence could contribute to food systems

Machine learning is changing the food industry. From how farmers determine what seeds they will plant to the ingredients used to prepare their meals, they have an AI-powered solution that is revolutionizing what we eat and how we eat it.

IBM, Tastewise and SeeTree are among the examples cited in this article of technology use in the food sector. The aim is to support human decisions with data, not automatically delegate decisions about an individual’s diet to a machine.

The consequences of the introduction of Artificial Intelligence in the world of food:

• Reduce waste: better demand forecasting and supply management can help make better use of food. Hunger and malnutrition also depend on social, economic and political factors that technology alone cannot solve. Every year, more than 9 million people die from hunger. Without the intervention of technology, this number would grow exponentially.
• Gain a better understanding of consumer preferences. With the increasing presence of food in the media, being able to predict consumer food trends and preferences can help companies reduce food waste.
• Adapt to change: agriculture faces pressures related to climate, land use and food demand. Analytical tools can support planning, but their benefits must be evaluated in each context.. By the end of the century, the earth's population will increase by 45%, while arable land will decrease by 20%. Furthermore, arable land may not currently be used efficiently: half of farmers around the world suffer post-harvest losses each year due to poor planting practices. As demand for food increases, current agricultural models will have to improve, and this will be achieved through technology.

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Written by

Gema Laso Aguarás