Developing predictive risk models for pilots using advanced techniques
Integration of Omics-based Technologies and Artificial Intelligence to Identify Predictive Risk Models in a Air Force's Pilot Cohort for the Maintenance of Safety, Well-being, Health, and Performance to be Translated to Civil Population
This study is trying to create personalized health risk models for high-performance pilots in the Italian Air Force to help keep them healthy and performing well in extreme conditions.
Quick facts
| Study type | Observational |
|---|---|
| Enrollment | 200 (estimated) |
| Ages | 26 Years to 38 Years |
| Sex | All |
| Sponsor | Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico Academic / other |
| Drugs / interventions | radiation |
| Locations | 1 site (Milan) |
| Trial ID | NCT06372054 on ClinicalTrials.gov |
What this trial studies
This observational study aims to create personalized risk models for high-performance pilots in the Italian Air Force, who are exposed to extreme environmental conditions. By analyzing biological samples, clinical records, and occupational data, the study employs omic-based approaches and artificial intelligence to identify significant biomarkers of health risks. The goal is to understand the mechanisms behind various diseases and apply early, personalized preventive measures to enhance the health and performance of these pilots. The findings may also be applicable to civilian populations and other patient cohorts.
Who should consider this trial
Good fit: Ideal candidates for this study are active members of the Italian Air Force, aged 26 to 38, who consent to participate.
Not a fit: Patients outside the age range of 26 to 38 or those who do not provide informed consent will not benefit from this study.
Why it matters
Potential benefit: If successful, this study could lead to improved health monitoring and preventive strategies for pilots and potentially other high-risk occupations.
How similar studies have performed: While the approach of integrating omic techniques with AI is innovative, similar studies in other high-performance occupational settings have shown promise in identifying health risks.
Eligibility criteria
Show full inclusion / exclusion 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
Where this trial is running
Milan
- CeMATA - Joint Center for Aerospace Medicine and Advanced Therapy — Milan, Italy (Recruiting)
Study contacts
- Principal investigator: Giovanni Marfia, MD, PhD — Fondazione IRCCs Ca' Granda Ospedale MAggiore Policlinico, Italian Air Force
- Study coordinator: Giovanni Marfia, MD, PhD
- Email: giovanni.marfia@policlinico.mi.it
- Phone: 0256660100
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.