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

Condition(s) studied

Investigational drug(s) / intervention(s)

Biological sample collection: Collection of biological samples (blood, urine, saliva) and clinical data

Study 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.

Eligibility

Primary outcome measure(s)

• Assessment of flight-related exposure data and molecular modifications — Through study completion, an average of 3 year
  Collection of information on: i) lifestyle, ii) medical examination, iii) previous trauma, iv) cumulative professional exposure to flying, determination of panel of genes and circulating markers to assess prognostic and predictive factors

Trial sites (1)

More Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico trials in Italy

Other trials for the same condition