Dr Sarah Berry - Personalised Nutrition for Metabolic Health
Exeter Food welcomes Dr Sarah Berry to speak about personalised approaches to nutritional advice
There is growing awareness of the need to move beyond the ‘one-size-fits-all’ approach in nutritional advice. However, for personalised nutrition to become a reality, large-scale, high precision data integrating multiple dietary, lifestyle, physiological, genetic and metagenomic data is required. This talk will explore: 1) why we need personalised approaches to nutrition advice; and 2) new developments in personalised nutrition with a focus on the ZOE PREDICT programme of research.
|A Research Networks seminar|
|Date||28 November 2023|
|Time||13:30 to 14:30|
Join this online event via Zoom link here.
The ZOE PREDICT programme is the largest ongoing programme of personalised nutrition (n>10,000) assessing the genetic, metagenomic, metabolomic and meal-context drivers of metabolic responses to predict individual responses to food using AI. This research is at the forefront of developments in personalised nutrition and is forging a new way forward in the design and implementation of large-scale remote nutrition research studies integrating novel technologies, citizen science and AI. The PREDICT programme has demonstrated the large and potentially modifiable variation in metabolic responses to identical meals in healthy people and the role that ‘what’ we eat, ‘who’ we are and ‘how’ we eat plays in shaping our responses.
Sarah Berry is a Reader in Nutritional Sciences at King’s College London and Chief Scientist at ZOE Ltd. Her research interests relate to the influence of dietary components on cardiometabolic disease risk, with particular focus on personalised nutrition, postprandial lipid metabolism and food and fat structure. Since commencing her research career at King’s, she has been the academic leader for more than 30 human nutrition studies in cardio-metabolic health. As the Chief Scientist at ZOE Ltd, she leads the PREDICT programme of research, assessing the genetic, metabolic, metagenomic, and meal-dependent effects on metabolic responses to food in >100,000 people. This research is at the forefront of developments in personalised nutrition and is forging a new way forward in the design and implementation of large-scale remote nutrition research studies integrating novel technologies, citizen science and AI.