Unipi Team Leader: Prof. Emanuele Neri, Dipartimento di Ricerca Traslazionale e delle Nuove Tecnologie in Medicina e Chirurgia

CHAIMELEON aims to set up a structured repository for health imaging data to be openly reused in AI experimentation for cancer management. An EU-wide repository will be built as a distributed infrastructure in full compliance with legal and ethics regulations in the involved countries. It will build on partner´s experience (e.g. PRIMAGE repository for paediatric cancer and the Euro-BioImaging node for Valencia population, by HULAFE; the Radiomics Imaging Archive by Maastricht University; the national repository DRIM AI France, the Oncology imaging biobank by Pisa University). Clinical partners and external collaborators will populate the Repository with multimodality (MR, CT, PET/CT) imaging and related clinical data for historic and newly diagnosed lung, prostate and colorectal cancer patients.

A multimodal analytical data engine will facilitate to interpret, extract and exploit the right information stored at the Repository. An ambitious development and implementation of AI-powered pipelines will enable advancement towards automating data deidentification, curation, annotation, integrity securing and images harmonisation, the latest being of the highest importance for enabling reproducibility of Radiomics when using large multiscanner/multicentre image datasets.
The usability and performance of the Repository as a tool fostering AI experimentation will be validated, including a validation subphase by other world-class European AI developers, articulated via the organisation of Open Challenges to the AI Community. A set of selected AI tools will undergo early on-silico validation in observational (non-interventional) clinical studies coordinated by leading experts in Gustave Roussy (lung cancer), San Donato (breast), Sapienza (colorectal) and La Fe (prostate) hospitals. Their performance will be assessed, including external independent validation, on hallmark clinical decisions in response to some of the currently most important clinical end points in cancer.

Coordinator

FUNDACION PARA LA INVESTIGACION DEL HOSPITAL UNIVERSITARIO LA FE DE LA COMUNIDAD VALENCIANA, Spain

Participants

• UNIVERSITA DI PISA, Italy
• UNIVERSITA DEGLI STUDI DI ROMA LA SAPIENZA, Italy
• CENTRO HOSPITALAR UNIVERSITARIO DO PORTO EPE, Portugal
• POLICLINICO SAN DONATO SPA, Italy
• COLLEGE DES ENSEIGNANTS DE RADIOLOGIE DE FRANCE, France
• UNIVERSITEIT MAASTRICHT, Netherlands
• CHARITE - UNIVERSITAETSMEDIZIN BERLIN, Germany
• IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE, United Kingdom
• BEN-GURION UNIVERSITY OF THE NEGEV, Israel
• UNIVERSITAT POLITECNICA DE VALENCIA, Spain
• GE HEALTHCARE GMBH - GEHC, Germany
• QUIBIM SOCIEDAD LIMITADA, Spain
• MEDEXPRIM, France
• BAHIA SOFTWARE SL, Spain
• MATICAL INNOVATION SL, Spain
• EIBIR GEMEINNUTZIGE GMBH ZUR FORDERUNG DER ERFORSCHUNG DER BIOMEDIZINISCHEN BILDGEBUNG, Austria
• UNIVERSITAT DE VALENCIA, Spain

Start date 1 September 2020
End date 31 August 2024
Project cost € 8 784 038,75
Project funding € 8 784 038,75
Unipi quota € 357 500
Call title H2020-SC1-FA-DTS-2019-1
Funding Scheme RIA - Research and Innovation action
Unipi role Partner