What this means
Researchers plan to collect urine, blood, and saliva samples and health records from pilots over time. The study has not reported any results yet, so it cannot show what the findings will be.
Plain-English summary written by an AI model from the registry listing.
- Status
- Recruiting
- Who can join
- Ages 26–38
- Where
- 1 site
The science
- Registered title
- TORNADO-Omics Techniques and Neural Networks for the Development of Predictive Risk Models
- Trial ID
- NCT06372054 ↗
- Phase
- Not applicable
- Study type
- observational
- Conditions
- Oxidative Injury, Stress Physiological, Discogenic Pain, Cardiovascular Risk Factor, Space Maintenance, Epigenetic Changes, LONGEVITY 1, Neuroplasticity, NGS
- What is tested
- Biological sample collection
- Sponsor
- Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico
- Ages
- 26 Years to 38 Years
- Dates
- First posted Apr 17, 2024 · updated Apr 17, 2024
Registry 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.
Sites (1)
- CeMATA - Joint Center for Aerospace Medicine and Advanced Therapy, Milan, Italy