The specific focus of iHelp is on early identification and mitigation of the risks associated with Pancreatic Cancer based on the application of advance AI-based learning and decision support techniques on the historic (primary) data of Cancer patients gathered from established data banks and cohorts.

iHelp is a three-year project that will address the challenges faced by healthcare administrations on extracting and analyzing clinical data of Pancreatic Cancer patients. The project seeks to integrate primary & secondary data in the HHR format to design enhanced personalised recommendations. 

Funded under the European Commission’s H2020 programme, the project will deliver a novel personalised-healthcare framework that will be based on the collection, integration, and management of health-related data from various sources in a standardised structure called Holistic Health Records (HHR).