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I3LUNG

Financiado

Integrative science, Intelligent data platform for Individualized LUNG cancer ca...

Integrative science, Intelligent data platform for Individualized LUNG cancer care with Immunotherapy Immunotherapy (IO) is the new standard of care for many patients with advanced Non-Small Cell Lung Cancer (aNSCLC), yet only around 30-50% of treated patients benefit from IO in the long term. Programmed Death-Ligand 1 (PD-L1) rem... ver más

31/05/2027

INT

10M€

Presupuesto del proyecto: 10M€

Líder del proyecto

FONDAZIONE IRCCS ISTITUTO NAZIONALE DEI TUMOR... No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Ver 18 Participantes

Financiación concedida El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2022-05-23

HORIZON-HLTH-2021-CARE-05-02: Data-driven decision-support tools... ExpectedOutcome:This topic aims at supporting activities that are enabling or contributing to one or...

I+D

Cerrada hace 3 años

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18 Participantes

INT

1.61M€ | Lider

FUNDACIO PRIVADA INSTITUT D'...

891.45K€ | Participante

ISTITUTO EUROPEO DI ONCOLOGI...

400.88K€ | Participante

IRFMN

511.35K€ | Participante

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Duración del proyecto: 60 meses Fecha Inicio: 2022-05-23
Fecha Fin: 2027-05-31

Líder del proyecto

FONDAZIONE IRCCS ISTITUTO NAZIONALE DEI TUMOR... No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 10M€

Descripción del proyecto Immunotherapy (IO) is the new standard of care for many patients with advanced Non-Small Cell Lung Cancer (aNSCLC), yet only around 30-50% of treated patients benefit from IO in the long term. Programmed Death-Ligand 1 (PD-L1) remains the only biomarker used to predict patient outcome to IO, though its efficacy is limited. Other potential biomarkers have been identified, yet not validated in prospective randomized clinical trials, providing only partial evidence. Due to the dynamic complexity of the immune system-tumour microenvironment, its interaction with the host and patient behaviour, it?s unlikely for a single biomarker to accurately predict patient outcome. Artificial Intelligence (AI) and machine learning (ML) frameworks, that synthetize and correlate information from multiple sources, are essential to develop powerful decision-making tools able to deal with this highly complex context and provide individualized predictions to improve patient outcomes reducing the economic burden of health care systems in NSCLC. The aim of the I3LUNG project is to develop such AI-based tools to assist in improving survival and quality of life, preventing undue toxicity, and reducing treatment costs. I3LUNG adopts a two-pronged approach: setting up a transnational platform of available data from 2000 patients in order to validate the AI models, and generating a multi-omics prospective data collection in 200 NSCLC patients integrating diverse -omic information then validate its usefulness in leading IO therapeutic decisions. A psychological study will help in defining the impact of AI-guided decisions on patients, eliciting their preference, and physicians comparing AI with Human Intuition. The final goal is the construction of a novel integrated AI-assisted Data Storage and Elaboration Platform backed up by Trustworthy Explainable AI methodology, ensuring its accessibility and ease of use by healthcare providers and patients alike.

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