This international initiative integrates artificial intelligence, digital twins and multimodal clinical data to improve predictive capabilities and personalize treatment decisions for lung cancer.
Politecnico di Milano is participating in the LUMINA project, a €4 million initiative funded by the European Innovation Council (EIC) Pathfinder Challenges programme.
The project aims to develop a new generation of AI-based clinical support tools for the predictive diagnosis and personalised treatment of lung cancer by creating patient-specific lung digital twins.
Coordinated by Aalborg University, the project involves the following European academic and clinical partners: Cracow University of Technology and the Maria Skłodowska-Curie National Research Institute of Oncology in Poland; Region Hovedstaden in Denmark; and Humanitas Research Hospital/Humanitas AI Center and the Politecnico di Milano in Italy.
LUMINA will develop advanced artificial intelligence models capable of integrating longitudinal and multimodal patient data, including CT scans, electronic health records, laboratory results and treatment history, with the aim of modelling tumour progression and predicting individual treatment responses.
The project is based on an initial dataset of around 4,000 patient cases from hospitals in Denmark, Italy, Poland and South Korea. This dataset will subsequently be expanded to encompass over 10,000 cases, partly through the use of synthetic data generation techniques.
These tools will provide clinicians with more proactive, data-driven decision-making support and give patients access to their own 'digital twin', increasing transparency and personalisation of their care journey.
The team from the Department of Industrial Engineering at the Politecnico di Milano is coordinating a Work Package dedicated to evaluating and implementing the innovations developed in LUMINA.
Specifically, the research group led by Emanuele Lettieri, Maria Pinelli and Giovanni Toletti will contribute the following:
- the multidimensional assessment of the impact of the AI-based solutions developed in the project using Health Technology Assessment (HTA) methodologies;
- the exploitation of the results to promote the transferability, adoption and implementation of these technologies in European healthcare systems.
The LUMINA project aims to lay the scientific and technological foundations for a new generation of AI-based clinical tools that will transform the diagnosis, monitoring and treatment of lung cancer in future by taking an increasingly predictive and personalised approach.