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

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Websites, patent fillings, videos etc. (3)

Project Website and communication materials - year 1 update and contents

Preparation and publication of dissemination materials

Project Website and communication materials

Website Launch and subsequent updates

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 (8)

Cost-effectiveness models of non–small cell lung cancer: A systematic literature review

Author(s): Michael Willis, Andreas Nilsson, Zin Min Thet Lwin, Gunnar Brådvik, Arsela Prelaj
Published in: Journal of Managed Care & Specialty Pharmacy, Issue 31, 2025, ISSN 2376-0540
Publisher: Academy of Managed Care Pharmacy
DOI: 10.18553/JMCP.2025.31.1.69

Budget impact models for lung cancer interventions: A systematic literature review

Author(s): Michael Willis, Andreas Nilsson, Klas Kellerborg, Zin Min Thet Lwin, Arsela Prelaj
Published in: Journal of Managed Care & Specialty Pharmacy, Issue 30, 2024, ISSN 2376-0540
Publisher: Academy of Managed Care Pharmacy
DOI: 10.18553/JMCP.2024.30.9.1041

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

The Implementation of Decision Aids During Medical Consultations for Lung Cancer Patients: A Focus Group Within I3LUNG Project

Author(s): Valeria Sebri, Patrizia Dorangricchia, Dario Monzani, Chiara Marzorati, Roberto Grasso, Lorenzo Conti, Giuseppe Lo Russo, Leonardo Provenzano, Andra Diana Dumitrascu, Gabriella Pravettoni
Published in: Journal of Cancer Education, 2025, ISSN 0885-8195
Publisher: Springer Science and Business Media LLC
DOI: 10.1007/S13187-025-02566-6

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

The EU-funded I3LUNG Project: Integrative Science, Intelligent Data Platform for Individualized LUNG Cancer Care With Immunotherapy

Author(s): Prelaj, Arsela; Ganzinelli, Monica; Trovo', Francesco; Roisman, Laila C; Pedrocchi, Alessandra Laura Giulia; Kosta, Sokol; Restelli, Marcello; Ambrosini, Emilia; Broggini, Massimo; Pravettoni, Gabriella; Monzani, Dario; Nuara, Alessandro; Amat, Ramon; Spathas, Nikos; Willis, Michael; Pearson, Alexander; Dolezal, James; Mazzeo, Laura; Sangaletti, Sabina; Correa, Ana Maria; Aguaron, Alfonso; Watermann, Iris; Popa, Crina; Raimondi, Giulia; Triulzi, Tiziana; Steurer, Stefan; Lo Russo, Giuseppe; Linardou, Helena; Peled, Nir; Felip, Enriqueta; Reck, Martin; Garassino, Marina Chiara
Published in: Clinical Lung Cancer, 2023, ISSN 1938-0690
Publisher: Elsevier
DOI: 10.1016/J.CLLC.2023.02.005

The impact of decision tools during oncological consultation with lung cancer patients: A systematic review within the I3LUNG project

Author(s): Valeria Sebri, Chiara Marzorati, Patrizia Dorangricchia, Dario Monzani, Roberto Grasso, Arsela Prelaj, Leonardo Provenzano, Laura Mazzeo, Andra Diana Dumitrascu, Jana Sonnek, Marlen Szewczyk, Iris Watermann, Francesco Trovò, Nina Dollis, Evangelos Sarris, Marina Chiara Garassino, Christine M. Bestvina, Alessandra Pedrocchi, Emilia Ambrosini, Sokol Kosta, Enriqueta Felip, Mireia Soleda, Aina Arbusà Roca, Jose Rodríguez‐Morató, Alessandro Nuara, Yonah Lourie, Melissa Fernandez‐Pinto, Alfonso Aguaron, Gabriella Pravettoni
Published in: Cancer Medicine, Issue 13, 2024, ISSN 2045-7634
Publisher: Wiley
DOI: 10.1002/CAM4.7159

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

Conference proceedings (1)

MetaLung: Towards a Secure Architecture for Lung Cancer Patient Care on the Metaverse

Author(s): Zanitti, Michele; Ferens, Mieszko; Ferrarin, Alberto; Trovo, Francesco; Miskovic, Vanja; Prelaj, Arsela; Shen, Ming; Kosta, Sokol
Published in: 2023 IEEE International Conference on Metaverse Computing, Networking and Applications (MetaCom), 2023
DOI: 10.1109/METACOM57706.2023.00047