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

The high-performance pilots of the Italian Air Force are "super healthy" individuals subjected to particular working conditions, as changes in temperature, pressure, gravity, acceleration, exposure to cosmic rays and radiation, which determine psycho-physical adaptation mechanisms to maintain homeostasis. However, this environmental exposure may potentially affect human health, well-being and performance.

The study aims to collect exposure data, clinical, physiological data through biosensors and molecular parameters (at different time point), to be integrated by an Artificial Intelligence algorithm expressly trained to create reliable risk models.

The final outcome will consist of the identification of significant biomarkers of pathological risk, in order to better understand the etiopathological mechanisms of many human diseases and apply early and personalized countermeasures to maintain and empower workers' health status and performance, avoiding clinical symptom presentation.

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