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Digital twin modelling in microgravity: A framework for predictive and personalised space medicine
Using digital twin models to predict and personalize medical care in microgravity
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Abstract
Digital twin technology may enable precision space medicine for astronauts by integrating diverse health data.
- Human spaceflight alters cardiovascular, musculoskeletal, immune, and nervous systems through various stressors.
- Current biomedical monitoring generates extensive but fragmented datasets, often analyzed retrospectively.
- Digital twins create adaptive models that evolve with incoming health data, offering a dynamic approach to health management.
- Individualized digital twins could help predict health deconditioning and optimize countermeasure protocols during missions.
- A phased roadmap suggests steps from Earth-based validation to in-flight predictive modeling for astronaut health.
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