Clinical Research Directory

Lung Cancer Multi-omics Digital Human Avatars for Integrating Precision Medicine Into Clinical Practice

Sponsor: Fondazione Policlinico Universitario Agostino Gemelli IRCCS

Summary

The goal of this multi-centric observational clinical trial is to to develop accurate predictive models for lung cancer patients, through the creation of Digital Human Avatars using various omics-based variables and integrating well-established clinical factors with "big data" and advanced imaging features The main goals of LANTERN project are: * To develop prevention models for early lung cancer diagnosis; * To set up personalized predictive models for individual-specific treatments; Lung cancer patients will be prospectively enrolled and main omics data (including radiomics and genomics) will be collected, reflecting the main omics domains associated with the lung cancer diagnosis and decision making pathway. An exploratory analysis across all collected datasets will select a pool of potential biomarkers to create a multiple distinct multivariate models, trained though advanced machine learning (ML) and AI techniques sub-divided into specific areas of interest. Finally, the developed predictive models will be validated in order to test their robustness, transferability and generalizability, leading to the development of the Digital Human Avatar.

Official title: Lung Cancer Multi-omics Digital Human Avatars for Integrating Precision Medicine Into Clinical Practice: the LANTERN Study

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