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

Informations projet

I3LUNG

N° de convention de subvention: 101057695

DOI 10.3030/101057695

Date de signature de la CE 23 Mai 2022

Date de début 1 Juin 2022

Date de fin 31 Mai 2027

Financé au titre de

• Health

Coût total € 9 996 697,50

Contribution de l’UE € 9 996 695,00

Coordonné par

FONDAZIONE IRCCS ISTITUTO NAZIONALE DEI TUMORI
Italy

Livrables

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

Auteurs: 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
Publié dans: Clinical Lung Cancer, Numéro 24, 2023, ISSN 1525-7304
Éditeur: Cancer Information Group
DOI: 10.1016/j.cllc.2023.02.005

Radiological artificial intelligence - predicting personalized immunotherapy outcomes in lung cancer

Auteurs: Roisman, L.C., Kian, W., Anoze, A. et al.
Publié dans: NPJ Precision Oncology, Numéro 7, 2023, ISSN 2397-768X
Éditeur: Nature Portfolio
DOI: 10.1038/s41698-023-00473-x

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

Auteurs: Dolezal, J.M., Srisuwananukorn, A., Karpeyev, D. et al.
Publié dans: Nature Communications, Numéro 13, 2022, ISSN 2041-1723
Éditeur: Nature Portfolio
DOI: 10.1038/s41467-022-34025-x