NCT06372054 TORNADO-Omics Techniques and Neural Networks for the Development of Predictive Risk Models
| NCT ID | NCT06372054 |
| Status | Recruiting |
| Phase | — |
| Sponsor | Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico |
| Condition | Oxidative Injury |
| Study Type | OBSERVATIONAL |
| Enrollment | 200 participants |
| Start Date | 2024-02-05 |
| Primary Completion | 2025-02-05 |
Trial Parameters
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Brief Summary
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.
Eligibility Criteria
Inclusion Criteria: * Being part of the Italian Air Force, as in active flight service or ground staff * Age between 26 and 38 years * Consent to collect biological samples and use the wearable device to monitor exposure parameters Exclusion Criteria: * Age \< 25 years and \> 39 years * no signature on informed consent