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

Información del proyecto

I3LUNG

Identificador del acuerdo de subvención: 101057695

DOI

10.3030/101057695

Fecha de la firma de la CE 23 Mayo 2022

Fecha de inicio 1 Junio 2022

Fecha de finalización 31 Mayo 2027

Financiado con arreglo a

• Health

Coste total

€ 9 996 697,50

Aportación de la UE

€ 9 996 695,00

Coordinado por

FONDAZIONE IRCCS ISTITUTO NAZIONALE DEI TUMORI
Italy

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Resultado final

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

Publicaciones

Peer reviewed articles (8)

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

Autores: Michael Willis, Andreas Nilsson, Zin Min Thet Lwin, Gunnar Brådvik, Arsela Prelaj
Publicado en: Journal of Managed Care & Specialty Pharmacy, Edición 31, 2025, ISSN 2376-0540
Editor: Academy of Managed Care Pharmacy
DOI: 10.18553/JMCP.2025.31.1.69

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

Autores: Michael Willis, Andreas Nilsson, Klas Kellerborg, Zin Min Thet Lwin, Arsela Prelaj
Publicado en: Journal of Managed Care & Specialty Pharmacy, Edición 30, 2024, ISSN 2376-0540
Editor: Academy of Managed Care Pharmacy
DOI: 10.18553/JMCP.2024.30.9.1041

Clinical Lung Cancer

Autores: 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
Publicado en: Clinical Lung Cancer, Edición 24, 2023, ISSN 1525-7304
Editor: 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

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

Radiological artificial intelligence - predicting personalized immunotherapy outcomes in lung cancer

Autores: Roisman, L.C., Kian, W., Anoze, A. et al.
Publicado en: NPJ Precision Oncology, Edición 7, 2023, ISSN 2397-768X
Editor: 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

Autores: 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
Publicado en: Clinical Lung Cancer, 2023, ISSN 1938-0690
Editor: 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

Autores: 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
Publicado en: Cancer Medicine, Edición 13, 2024, ISSN 2045-7634
Editor: Wiley
DOI: 10.1002/CAM4.7159

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

Autores: Dolezal, J.M., Srisuwananukorn, A., Karpeyev, D. et al.
Publicado en: Nature Communications, Edición 13, 2022, ISSN 2041-1723
Editor: 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

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