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Updated: May 20, 2026

Exploring the Effects of Spaceflight on Mouse Physiology using the Open Access NASA GeneLab Platform

Exploring the Effects of Spaceflight on Mouse Physiology using the Open Access NASA GeneLab Platform

Published on: January 13, 2019

The Data Science of Health in Space.

Julian Daniel Sunday Willett^1,2, JangKeun Kim^2,3,4, Anurag Sakharkar²

¹1NewYork-Presbyterian/Weill Cornell Medical Center, Department of Pathology and Laboratory Medicine, New York, NY, USA.

Annual Review of Biomedical Data Science

|May 18, 2026

Summary

Spaceflight significantly alters human biology, creating a need for integrated data science in space health. This research reviews the current data infrastructure and analytical methods to advance astronaut health and terrestrial medicine.

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Area of Science:

Space Health
Data Science
Multiomics

Background:

Spaceflight induces unique biological changes.
Space health relies on multiomic data, biobanks, and FAIR principles.
Existing infrastructure includes NASA GeneLab, ESA/JAXA platforms, and the Space Omics and Medical Atlas.

Purpose of the Study:

To review the current space health data ecosystem.
To highlight methods for integrating diverse omics data with phenotypes.
To explore machine learning and causal inference for risk and resilience signatures.

Main Methods:

Review of existing space health data repositories and infrastructures.
Integration of heterogeneous omics data with clinical, environmental, and digital phenotypes.
Application of machine learning and causal inference techniques.

Main Results:

Spaceflight serves as an accelerated model for aging and stress.
Identified conserved signatures of risk and resilience in astronauts.
Potential for discovering biomarkers and countermeasures with Earth-based applications.

Conclusions:

The integrated data ecosystem facilitates understanding of spaceflight's biological impact.
Machine learning advances personalized risk management and countermeasure development.
Future directions include digital twins, wearables, and federated data systems for predictive space health.