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

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.

Conditions

• Oxidative Injury
• Stress Physiological
• Discogenic Pain
• Cardiovascular Risk Factor
• Space Maintenance
• Epigenetic Changes
• LONGEVITY 1
• Neuroplasticity
• NGS

Interventions

OTHER

Biological sample collection

Collection of biological samples (blood, urine, saliva) and clinical data

Sponsors & Collaborators

• University of Milan

  collaborator OTHER

• Italian Air Force

  collaborator UNKNOWN

• A-Tono

  collaborator UNKNOWN

• Ministry of Defense, Italy

  collaborator UNKNOWN

• Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico

  lead OTHER

Principal Investigators

• Giovanni Marfia, MD, PhD · Fondazione IRCCs Ca' Granda Ospedale MAggiore Policlinico, Italian Air Force

• Emanuele Garzia, MD, PhD · Italian Air Force

• Marco Locatelli, MD, PhD · Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico

• Francesco Vestito, PhD · Italian Air Force

Eligibility

Min Age

26 Years

Max Age

38 Years

Sex

ALL

Healthy Volunteers

No

Timeline & Regulatory

Start

2024-02-05

Primary Completion

2025-02-05

Completion

2027-02-05

Countries

• Italy

Study Locations