Project description
Tailored diets using a computational approach
Nutrition plays a fundamental role in disease prevention and outcome during and after therapy since food contains ingredients that can function more or less as drugs. However, the large number of potential ingredient combinations makes it virtually impossible to optimise food profiles through standard experimental approaches. To this end, the EU-funded Hyperfoods project proposes to adopt a machine learning approach for the computational discovery and design of personalised nutrition. The Hyperfoods technology could pave the way for tailored diets to promote population well-being, help tackle diseases such as cancer and sustain the healthcare system.
Fields of science
Programme(s)
Funding Scheme
ERC-POC - Proof of Concept Grant
Host institution
IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE
Net EU contribution
€ 150 000,00
Address
South Kensington Campus Exhibition Road
SW7 2AZ London
United Kingdom
SW7 2AZ London
United Kingdom
See on map
Region
London Inner London — West Westminster
Activity type
Higher or Secondary Education Establishments
Other funding
No data
Beneficiaries (1)
IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE
United Kingdom
Net EU contribution
€ 150 000,00
Address
South Kensington Campus Exhibition Road
SW7 2AZ London
SW7 2AZ London
See on map
Region
London Inner London — West Westminster
Activity type
Higher or Secondary Education Establishments
Other funding
No data