If you could improve your health by using data-powered advice based on your body’s nutritional input, wouldn’t that be something you would want to do? That seems to be the viewpoint of an investor from the New York Angels group, who has given nutrition analytics and data startup Nutrino $8 million to complete its Series A funding. In a field of science where we find out how food affects the human body so we can focus on healing, disease prevention, and chronic condition management, this San Francisco and Tel Aviv-based startup is leading the way through an easy-to-use app.
Customized Nutrition with Cognitive Insights
One day eggs are bad for you, and the next day they are recommended? Within a complex science where dietitians sometimes contradict one another on what is the best nutritional recourse for their patients, the clear path through the differences in advice are the hard facts that you can derive from machine learning. Like all industries that data analytics is applied to the answers are more correct and at the same time more personalized, as well.
Today’s use of limited data sources and recorded personal data is not always compared with other similar cases across population after the data has been aggregated. There is also lack of integration between clinical, nutritional, and genomic data, as well as information about behavioral and physical activity. AI-powered analytics with models that will evolve over time can be applied to collected data sets that will be transformed, cleansed and prepared using data integration technologies. That will allow nutritionists to deliver the right information in context to users based on their personalized profile and needs.
You Are What You Eat All Depends On A Number of Factors
Nutrino has already applied those factors to helping diabetics through a partnership with Medtronic plc. It will give people with diabetes an individualized picture of how daily food intake and other measures impact glucose levels through MiniMed Connect and CareLink with the Nutrino app. People who use Medtronic continuous glucose monitors (CGM) and insulin pumps in the United States can get personalized food suggestions and meal plans tailored to their carbohydrate intake, glucose levels and other measures through the app.
Of course their application can also be applied to the general populace with data coming from two different systems. There is the food analysis system (which includes scientific literature, food, and menu items), and then there is the individual inputs system (which includes blood type, allergies, physical activity, sleep, mood, glucose, and insulin level).
Helping users manage their chronic disease, identify food trends, improve wellbeing, and manage weight is the projected outcome of this company, and that is the calculated conclusion as well for all companies where data meets nutrition.