Lung Cancer Multi-omics Digital Human Avatars for Integrating Precision Medicine Into Clinical Practice
NCT05802771 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 600
Last updated 2023-04-07
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.
Conditions
- Non Small Cell Lung Cancer
Interventions
- PROCEDURE
-
surgical resection
surgical resection of the lung cancer
Sponsors & Collaborators
-
Technische Universität Dresden
collaborator OTHER -
University of Debrecen
collaborator OTHER -
Hospital de la Santa creu i Sant Pau - Barcelona
collaborator OTHER -
Koc University Hospital
collaborator OTHER -
Accademia del Paziente Esperto EUPATI, Rome, Italy
collaborator UNKNOWN -
Fondazione Policlinico Universitario Agostino Gemelli IRCCS
lead OTHER
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2023-06-01
- Primary Completion
- 2025-10-01
- Completion
- 2026-06-01
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