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Идёт набор NCT06372054

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

— Наблюдательное Oxidative Injury Stress Physiological Discogenic Pain Cardiovascular Risk Factor

Ориентир для пациента и семьи

Простыми словами

Автоматическая сводка по структурированным данным реестра. Она помогает сориентироваться, но не заменяет официальный протокол или оценку врача.

Что изучают
В протоколе указаны: Biological sample collection.
Кому может быть актуально
Состояния в реестре: Oxidative Injury, Stress Physiological, Discogenic Pain, Cardiovascular Risk Factor. Базовые параметры: 26 лет — 38 лет · Все.
Что важно проверить
Возраст, диагноз и пол — только базовые ориентиры. Предыдущее лечение, анализы и другие обязательные условия указаны ниже в критериях участия.
Где проводится
Италия
Следующий шаг
Сохраните исследование, покажите его лечащему врачу и уточните актуальный статус у исследовательского центра. Расходы, документы и поездка →

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Официальное название

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

Обзор

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.

Подробное описание

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.

Вмешательства

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

Первичные конечные точки

  • Assessment of flight-related exposure data and molecular modifications [Срок оценки: Through study completion, an average of 3 year]
Вторичные конечные точки (4)
  • Assessment of General Health [Срок оценки: Through study completion, an average of 3 year]
  • Assessment of Sleep Quality [Срок оценки: Through study completion, an average of 3 year]
  • Assessment of eating habits [Срок оценки: Through study completion, an average of 3 year]
  • Creation of reliable AI and disease-based models for personalized medicine [Срок оценки: Through study completion, an average of 3 year]

Критерии участия

Критерии включения

  • 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

Критерии исключения

  • Age < 25 years and > 39 years
  • no signature on informed consent

Критерии приведены из реестра в оригинале (на английском). Окончательную оценку соответствия проводит исследовательский центр.

Здоровые добровольцы: Нет

Дизайн исследования

Модель наблюдения
Когортное

Центры проведения

Италия · 1 центр
  • CeMATA - Joint Center for Aerospace Medicine and Advanced Therapy — Milan

Публикации

  • Marfia G, Navone SE, Guarnaccia L, Campanella R, Locatelli M, Miozzo M, Perelli P, Della Morte G, Catamo L, Tondo P, Campanella C, Lucertini M, Ciniglio Appiani G, Landolfi A, Garzia E. Space flight and central nervous system: Friends or enemies? Challenges and opportunities for neuroscience and neuro-oncology. J Neurosci Res. 2022 Sep;100(9):1649-1663. doi: 10.1002/jnr.25066. Epub 2022 Jun 9. PMID 35678198
  • Marfia G, Guarnaccia L, Navone SE, Ampollini A, Balsamo M, Benelli F, Gaudino C, Garzia E, Fratocchi C, Di Murro C, Ligarotti GK, Campanella C, Landolfi A, Perelli P, Locatelli M, Ciniglio Appiani G. Microgravity and the intervertebral disc: The impact of space conditions on the biomechanics of the spine. Front Physiol. 2023 Mar 14;14:1124991. doi: 10.3389/fphys.2023.1124991. eCollection 2023. PMID 36998982

Идентификаторы

NCT: NCT06372054 · TORNADO

Первоисточники (государственные реестры)

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