The current management of lung cancer patients have reached a high level of complexity, thereby complicating the process of decision-making by clinicians. With the advent of advanced Artificial Intelligence (AI) techniques, various omics datasets may be used efficaciously in creating predictive models.

LANTERN partners will develop accurate predictive models for lung cancer patients, through the creation of Digital Human Avatars (DHA), defined as computerised representations of individual patients with a focus on biological functions.

LANTERN partners will prospectively enrol 600 lung cancer patients, collecting several omics domains (including radiomics and genomics). Advanced and correlated omics variables will be modelled, originated and parameterized in an experimental context of cutting-edge big data. The development of DHA and the consequent application of AI-based predictive models in clinical practice will in fact, favour the accuracy of diagnosis and a complete personalisation of treatment.