iToBoS (Intelligent Total Body Scanner for Early Detection of Melanoma) project aims at developing an AI diagnostic platform for early detection of melanoma

iToBoS is a research project funded by European Union's Horizon 2020 research and innovation programme; with an aim to build a new diagnostic tool for the early detection of melanoma, exploiting all the available information of the patient. This holistic assessment tool should understand the specific characteristics of every patient in order to enable a personalized, early detection of melanoma. The project has a duration of 48 months (1April 2021-31 March 2025) and a total Budget of 12 million Euro.

The consortium with 19 partners organizations is led by the University of Girona (Spain). This international consortium brings together leading research/ academic institutions (5 research centres), industries (4 companies and 6 SMEs) and end-users entities (3 hospitals and 1 patients’ NPO): University of Girona (Spain), Optotune Switzerland AG (Switzerland), IBM Israel-Science and technology Ltd (Israel), Robert Bosch España Fábrica Madrid SA (Spain), Barco NV (Belgium), National Technical University of Athens-NTUA (Greece), Gottfried Wilhelm Leibniz Universitaet Hannover (Germany), Fundació Clinic per a la Recerca Biomédica (Spain), Ricoh Spain IT Services SLU (Spain), Trilateral Research Limited (Ireland) Universita degli Studi di Trieste (Italy), Coronis Computing SL (Spain), Torus Actions (FR), V7 LTD (United Kingdom), ISAHIT (France), The University of Queensland (Australia), Szamitastechnikai es Automatizalasi Kutatointezet (Hungary), Fraunhofer Gesellschaft zur Foerderung der Angewandten Forschung E.V. (Germany), Melanoma Patient Network Europe (Sweden).

The UQ Team will contribute to numerous of the project’s Work Packages, and will lead WP10: Acquisition of Clinical Data. The UQ team will test the newly-developed iToBoS machine by collecting unique data from Australian patients, alongside teams in Spain and Italy collecting European data, to compare to current state-of-the-art practices. These data assets include a vast range of imaging data consisting of 2D images, 3D total body images, and dermoscopy images, along with the associated clinical information, questionnaire data and genomic data.

The UQ team includes: Professor H. Peter Soyer, Professor Monika Janda, Associate Professor Liam Caffery, Dr Aideen McInerney-Leo, Dr Brigid Betz-Stablein and Katie Lee.

This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 965221.

The UQ Team supported by a NHMRC European Union Collaborative Research Grant (APP2007014).

 

Project members

Professor Peter Soyer

MRFF-NG Practitioner Fellow
The University of Queensland Diamantina Institute

Professor Monika Janda

Professor in Behavioural Science & Centre Director
Centre for Health Services Research

Associate Professor Liam Caffery

Principal Research Fellow
Centre for Health Services Research

Dr Aideen McInerney-Leo

Senior Research Fellow
The University of Queensland Diamantina Institute

Miss Katie Lee

Research Assistant
The University of Queensland Diamantina Institute