Integrative science, Intelligent data platform for Individualized LUNG cancer care with Immunotherapy

Project Information

I3LUNG

Grant agreement ID: 101057695

DOI 10.3030/101057695

EC signature date 23 May 2022

Start date 1 June 2022

End date 31 May 2027

Funded under

• Health

Total cost € 9 996 697,50

EU contribution € 9 996 695,00

Coordinated by

FONDAZIONE IRCCS ISTITUTO NAZIONALE DEI TUMORI
Italy

Deliverables

Websites, patent fillings, videos etc. (2)

Project Website and communication materials - year 1 update and contents

Preparation and publication of dissemination materials

Project Website and communication materials - website launch

Preparation and publication of dissemination materials

Documents, reports (1)

Lung cancer patients' knowledge about AI

Report with patients’ knowledge about AI

Publications

Peer reviewed articles (3)

Clinical Lung Cancer

Author(s): Prelaj A, Ganzinelli M, Trovo' F, Roisman LC, Pedrocchi ALG, Kosta S, Restelli M, Ambrosini E, Broggini M, Pravettoni G, Monzani D, Nuara A, Amat R, Spathas N, Willis M, Pearson A, Dolezal J, Mazzeo L, Sangaletti S, Correa AM, Aguaron A, Watermann I, Popa
Published in: Clinical Lung Cancer, Issue 24, 2023, ISSN 1525-7304
Publisher: Cancer Information Group
DOI: 10.1016/j.cllc.2023.02.005

Radiological artificial intelligence - predicting personalized immunotherapy outcomes in lung cancer

Author(s): Roisman, L.C., Kian, W., Anoze, A. et al.
Published in: NPJ Precision Oncology, Issue 7, 2023, ISSN 2397-768X
Publisher: Nature Portfolio
DOI: 10.1038/s41698-023-00473-x

Uncertainty-informed deep learning models enable high-confidence predictions for digital histopathology

Author(s): Dolezal, J.M., Srisuwananukorn, A., Karpeyev, D. et al.
Published in: Nature Communications, Issue 13, 2022, ISSN 2041-1723
Publisher: Nature Portfolio
DOI: 10.1038/s41467-022-34025-x