TORNADO-Omics Techniques and Neural Networks for the Development of Predictive Risk Models

The goal of this observational study is to define a personalized risk model in the super healthy and homogeneous population of Italian Air Force high-performance pilots. This peculiar cohort conducts dynamic activities in an extreme environment, compared to a population of military people not involved in flight activity. The study integrates the analyses of biological samples (urine, blood, and saliva), clinical records, and occupational data collected at different time points and analyzed by omic-based approaches supported by Artificial Intelligence. Data resulting from the study will clarify many etiopathological mechanisms of diseases, allowing the creation of a model of analyses that can be extended to the civilian population and patient cohorts for the potentiation of precision and preventive medicine.

NCT Number	NCT06372054
Lead Sponsor	Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico Collaborators: University of Milan, Italian Air Force, A-Tono, Ministry of Defense, Italy
Conditions	Oxidative Injury, Stress Physiological, Discogenic Pain, Cardiovascular Risk Factor, Space Maintenance, Epigenetic Changes, LONGEVITY 1, Neuroplasticity +1 more
Enrollment	200 participants
Start Date	2024-02-05
Primary Completion	2025-02-05 (estimated)
Study Completion	2027-02-05 (estimated)
Updated on ClinicalTrials.gov	2024-04-17