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The Effect of Aging on Tissues01:19

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Several body functions deteriorate with age. The external signs of aging are easily identifiable. For example, the skin becomes dry, less elastic, and thins out, forming wrinkles. The skin of the face begins to appear looser due to a decrease in the levels of elastic and collagen fibers in the connective tissue. Additionally, melanin production in the hair follicle decreases with age, resulting in gray hair. Moreover, the senses of sight and hearing decline, so glasses and hearing aids may...
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Related Experiment Video

Updated: Feb 19, 2026

Obtaining Specimens with Slowed, Accelerated and Reversed Aging in the Honey Bee Model
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Aeroaging - A New Collaboration between Life Sciences Experts and Aerospace Engineers.

M Vellas1, C Fualdes, J E Morley

  • 1M. Vellas, ISAE-SUPAERO DMSM, Institut Clément Ader (UMR CNRS 5312), Université de Toulouse, France, mathilde.vellas@isae.fr.

The Journal of Nutrition, Health & Aging
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Summary

Experts explored human and aircraft aging, finding shared processes and prediction methods. This collaboration could advance predictive maintenance in aeronautics using systems medicine approaches.

Keywords:
Agingaircraftcompositeshealthlife science

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Area of Science:

  • Interdisciplinary research bridging life sciences and aeronautics.
  • Focus on aging processes and predictive modeling.

Background:

  • Human aging and aircraft aging share fundamental similarities.
  • Existing methodologies for predicting aging require cross-disciplinary investigation.

Purpose of the Study:

  • To identify overlaps between human and aircraft aging.
  • To explore novel predictive maintenance strategies for aircraft.
  • To foster collaboration between life sciences and aeronautics.

Main Methods:

  • An open discussion forum involving experts from both fields.
  • Comparative analysis of aging determinants in biological systems and aircraft structures.
  • Inspiration from P4 Systems Medicine for developing new predictive models.

Main Results:

  • Identification of analogous aging processes in humans and aircraft.
  • Recognition of shared principles in predicting aging trajectories.
  • Proposal of two key collaboration axes: understanding aircraft structural aging and applying systems medicine for predictive maintenance.

Conclusions:

  • Cross-disciplinary insights can significantly enhance the understanding of aging.
  • Aeronautics can benefit from systems medicine approaches for predictive maintenance.
  • Further collaboration is recommended to explore these identified research avenues.