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EU-Förderung (9.988.978 €): Eine multimodale KI-basierte Toolbox und ein interoperables Health Imaging-Repository zur Stärkung der bildgebenden Analyse im Zusammenhang mit der Diagnose, Vorhersage … Hor 03.06.2020 EU-Rahmenprogramm für Forschung und Innovation "Horizont"

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Eine multimodale KI-basierte Toolbox und ein interoperables Health Imaging-Repository zur Stärkung der bildgebenden Analyse im Zusammenhang mit der Diagnose, Vorhersage und Nachverfolgung von Krebs

The increasing amount and availability of collected data (cancer imaging) and the development of novel technological tools based on Artificial Intelligence (AI) and Machine Learning (ML), provide unprecedented opportunities for better cancer detection and classification, image optimization, radiation reduction, and clinical workflow enhancement. The INCISIVE project aims to address three major open challenges in order to explore the full potential of AI solutions in cancer imaging: (1) AI challenges unique to medical imaging, (2) Image labelling and annotation and (3) Data availability and sharing. In order to do that INCISIVE plans to develop and validate: (1) an AI-based toolbox that enhances the accuracy, specificity, sensitivity, interpretability and cost-effectiveness of existing cancer imaging methods, (2) an automated-ML based annotation mechanism to rapidly produce training data for machine learning research and (3) a pan-European repository federated repository of medical images, that will enable the secure donation and sharing of data in compliance with ethical, legal and privacy demands, increasing accessibility to datasets and enabling experimentation of AI-based solutions. The INCISIVE models and analytics will utilize various cancer imaging scans, biological data and EHRs, and will be trained with 1 PB of available data provided by 8 partners within the project. INCISIVE solution will be investigated in four validation studies for Breast, Prostate, Colorectal and Lung Cancer, taking place in 8 pilot sites, from 5 countries (Cyprus, Greece, Italy, Serbia and Spain), with participation of at least 2,600 patients and a total duration of 1.5 year. INCISIVE moves beyond the state of the art, by improving sensitivity and specificity of lower cost scanning methods, accurately predicting the tumor spread, evolution and relapse, enhancing interpretability of results and democratizing imaging data.


Geförderte Unternehmen:

Firmenname Förderungssumme
Adapt IT ΑΕ 313.250 €
Aristotelio Panepistimio Thessalonikis 458.000 €
Barcelona Supercomputing Center Centro Nacional de Supercomputacion 453.750 €
Centro Regionale Information E Communication Technology SCRL 336.250 €
Elliniki Antikarkiniki Etaireia 406.250 €
Erevnitiko Panepistimiako Institouto Systimaton Epikoinonion Kai Ypologiston 427.500 €
Ethniko Kai Kapodistriako Panepistimio Athinon 283.750 €
Ethniko Kentro Erevnas Kai Technologikis Anaptyxis 500.625 €
European Dynamics Advanced Information Technology AND Telecommunication Systems SA 0,00 €
European Dynamics Luxembourg SA 473.625 €
Fundacio de Recerca Clinic Barcelona-Institut D Investigacions Biomediques August Pi i Sunyer 415.000 €
Fundacio Ticsalut i Social 413.063 €
Helsingin Yliopisto 416.250 €
Hospital Clinic de Barcelona 0,00 €
Kingston University Higher Education Corporation 358.750 €
Linac-PET Scan Opco Ltd. 340.000 €
Maggioli S.p.A. 702.500 €
Manufacturing Trade AND Services Company,Visaris d.o.o.,Beograd (Zemun) 299.500 €
Medtronic Iberica SA 517.500 €
Pagkyprios Syndesmos Karkinopathon Kai Filon 1986 163.125 €
Squaredev 202.500 €
Technologiko Panepistimio Kyprou 206.540 €
Thridium Ltd. 502.500 €
Timelex 361.875 €
Universita Degli Studi Di Napoli Federico II 376.875 €
Universita Degli Studi Di Roma TOR Vergata 350.000 €
Univerzitet U Novom Sadu 243.125 €
White Research Srl 466.875 €

Quelle: https://cordis.europa.eu/project/id/952179

Diese Bekanntmachung wurde von Englisch nach Deutsch übersetzt. Die Bekanntmachung bezieht sich auf einen vergangenen Zeitpunkt, und spiegelt nicht notwendigerweise den heutigen Stand wider.