Ignite Creation Date:
2024-05-06 @ 8:25 PM
Last Modification Date:
2024-10-26 @ 3:27 PM
Study NCT ID:
NCT06372054
Status:
RECRUITING
Last Update Posted:
2024-04-17
First Post:
2024-03-21
Brief Title:
TORNADO-Omics Techniques and Neural Networks for the Development of Predictive Risk Models
Sponsor:
Fondazione IRCCS Ca Granda Ospedale Maggiore Policlinico
Organization:
Fondazione IRCCS Ca Granda Ospedale Maggiore Policlinico
Study Overview
Official Title:
Integration of Omics-based Technologies and Artificial Intelligence to Identify Predictive Risk Models in a Air Forces Pilot Cohort for the Maintenance of Safety Well-being Health and Performance to be Translated to Civil Population
Status:
RECRUITING
Status Verified Date:
2024-03
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
Brief 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
Detailed Description:
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
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
Study Oversight
Has Oversight DMC:
None
Is a FDA Regulated Drug?:
False
Is a FDA Regulated Device?:
False
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?:
None