protocolSection identificationModule nctId: NCT06372054, orgStudyIdInfo id: TORNADO, briefTitle: TORNADO-Omics Techniques and Neural Networks for the Development of Predictive Risk Models, statusModule overallStatus: RECRUITING, startDateStruct date: 2024-02-05, primaryCompletionDateStruct date: 2025-02-05, completionDateStruct date: 2027-02-05, studyFirstPostDateStruct date: 2024-04-17, lastUpdatePostDateStruct date: 2024-04-17, sponsorCollaboratorsModule leadSponsor name: Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, class: OTHER, collaborators name: University of Milan, collaborators name: Italian Air Force, collaborators name: A-Tono, collaborators name: Ministry of Defense, Italy, descriptionModule briefSummary: 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., conditionsModule conditions: Oxidative Injury, conditions: Stress Physiological, conditions: Discogenic Pain, conditions: Cardiovascular Risk Factor, conditions: Space Maintenance, conditions: Epigenetic Changes, conditions: LONGEVITY 1, conditions: Neuroplasticity, conditions: NGS, designModule studyType: OBSERVATIONAL, designInfo observationalModel: COHORT, timePerspective: PROSPECTIVE, enrollmentInfo count: 200, type: ESTIMATED, armsInterventionsModule interventions name: Biological sample collection, outcomesModule primaryOutcomes measure: Assessment of flight-related exposure data and molecular modifications, secondaryOutcomes measure: Assessment of General Health, secondaryOutcomes measure: Assessment of Sleep Quality, secondaryOutcomes measure: Assessment of eating habits, secondaryOutcomes measure: Creation of reliable AI and disease-based models for personalized medicine, eligibilityModule sex: ALL, minimumAge: 26 Years, maximumAge: 38 Years, stdAges: ADULT, contactsLocationsModule locations facility: CeMATA - Joint Center for Aerospace Medicine and Advanced Therapy, status: RECRUITING, city: Milan, zip: 20139, country: Italy, contacts name: Stefania E Navone, PhD, role: CONTACT, phone: 0256660100, phoneExt: +39, email: stefania.navone@policlinico.mi.it, contacts name: Giovanni Marfia, MD, PhD, role: PRINCIPAL_INVESTIGATOR, contacts name: Laura Guarnaccia, PhD, role: SUB_INVESTIGATOR, contacts name: Stefania E Navone, PhD, role: SUB_INVESTIGATOR, contacts name: Monica R Miozzo, PhD, role: SUB_INVESTIGATOR, contacts name: Orazio Granato, PhD, role: SUB_INVESTIGATOR, contacts name: Silvana Pileggi, PhD, role: SUB_INVESTIGATOR, contacts name: Luisella Vigna, MD, PhD, role: SUB_INVESTIGATOR, contacts name: Matteo Bonzini, MD, PhD, role: SUB_INVESTIGATOR, contacts name: Laura Fontana, PhD, role: SUB_INVESTIGATOR, contacts name: Laura Begani, MSc, role: SUB_INVESTIGATOR, geoPoint lat: 45.46427, lon: 9.18951, hasResults: False