We are working together with leading scientists and thousands of volunteers – combining large-scale data and machine learning to predict personal nutritional responses to any meal so we can eat with confidence.
When it comes to something as personal as food, everyone’s different. So how do you know what’s right for you? The answer lies in understanding your personal nutritional response - how your body breaks down and uses food.
When you eat or drink something, your body converts the fat and sugar (carbohydrates) into energy. This is called metabolism.
How high the levels of fat and sugar in your blood rise after eating or drinking and how quickly they return to normal - your nutritional response - is an important measure of metabolism and health.
Regularly eating meals that trigger an unhealthy nutritional response harms your metabolism, eventually causing long-term weight gain and health problems such as diabetes or heart disease.
We’re measuring personal nutritional responses in thousands of people - the largest study of its kind in the world.
Here’s how we do it
We use blood tests and stick-on glucose monitors (originally developed for people with diabetes) to see how the levels of chemicals such as fat, insulin and sugar change in each person’s bloodstream after eating a set of identical standardized foods and their own regular meals. We also gather data on activity, sleep, hunger and gut bacteria (microbiome).
We were surprised to discover that nutritional responses to the same foods can be very different between people, even identical twins:
We’re building machine learning models to figure out what’s going on when people eat specific foods and predict with high accuracy how they’ll respond to any meal. This way we can help them choose the foods that will optimize their metabolism and keep them healthy and feeling good for life.
To find out more read our blog or whitepapers.
We’re working with some of the world’s leading scientists from academic centers including Harvard, Lund (Sweden), Massachusetts General Hospital, Oxford (UK), King’s College London (UK), Tufts and Stanford.
Professor of Genetic Epidemiology, King’s College London, UK
Associate Professor, Department of Nutritional Sciences, King’s College London, UK
Professor of Genetic and Molecular Epidemiology, Lund University, Sweden
Associate Professor, Medicine and Health Sciences University of Nottingham, UK
Associate Professor of Computational Metagenomics, University of Trento, Italy
Professor of Medicine, Harvard Medical School & Chief of Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, USA
Rehnborg Farquhar Professor of Medicine, Stanford University, USA
Director, Nutrition and Genomics Laboratory, USDA-HNRCA at Tufts University, USA
Assistant Professor of Medicine, Massachusetts General Hospital & Harvard Medical School, USA
Professor of Metabolic Physiology, University of Oxford, UK
Professor of Computational Biology and Bioinformatics, Harvard TH Chan School of Public Health, USA
Professor of Diabetes, University of Oxford, UK
Scientific studies that underpin our work.
We measured biological responses to specific foods in 1,100 people over 14 days, measuring blood glucose, insulin and fat levels, activity, inflammation, sleep and gut microbiome diversity.
An expanded home-based study that opened in June 2019. We’re recruiting 1,200 volunteers across the US, measuring nutritional responses to food over a period of 11 days.
Be one of the first to find out about our research studies and get early access to our product when it launches. We’ll send you via email our latest nutrition insights, news and updates.