Using Omics and AI to Develop Risk Models for Health and Performance in Italian Air Force Pilots Compared to Ground Staff

What this Trial Is About

Researchers are studying a group of super healthy, high-performance Italian Air Force pilots to develop personalized risk models for health and performance. These pilots work in extreme conditions involving changes in temperature, pressure, gravity, acceleration, and radiation exposure. The study compares this pilot group with Italian Air Force ground personnel to better understand the effects of such environments on health and to improve precision and preventive medicine. The study collects various biological samples like blood, urine, and saliva, along with clinical records and occupational data at different times. These data are analyzed using omics-based techniques combined with Artificial Intelligence to identify biomarkers linked to disease risk. The goal is to create models that help maintain and enhance health and performance, which could later be applied to the general public and patient groups. Participants will provide biological samples and wear devices that monitor exposure factors over about three years. Researchers will assess health measures including flight-related exposures, general health, sleep quality, and eating habits. The study also focuses on building AI models for personalized medicine. Continuous monitoring and data collection throughout the study support understanding of physiological and molecular changes in these pilots.

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