What will be the main application areas of FLUID framework in biomedical research by 2025?
Cancer Research • 25%
Neuroscience • 25%
Cardiovascular Studies • 25%
Other • 25%
Official reports or publications from NASA or partner organizations
FLUID Framework Enables Federated Learning for Biomedical AI Between Earth and ISS Using Real and Synthetic Data
Jan 19, 2025, 05:51 PM
A new framework named FLUID (Federated Learning Using In-space Data) has been developed to enable federated learning for training biomedical machine learning models in a spaceflight context. This foundational architecture facilitates the training and updating of classifier models between Earth and the International Space Station (ISS) using both real biomedical research data and synthetically generated data. The initiative represents a significant advancement in the application of AI technologies in space, allowing for decentralized data training without the need for centralized data storage.
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Neurodegenerative diseases • 25%
Stem cell therapy • 25%
Cancer research • 25%
Longevity research • 25%
Improved research quality • 25%
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Disease prevention • 25%
Anti-aging treatments • 25%
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Cellular rejuvenation • 25%
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Cancer treatment • 25%
Viral infections • 25%
Bacterial infections • 25%
Genetic modification • 25%
Organ regeneration • 25%
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Neural enhancement • 25%
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Drug Discovery • 25%
AI and Machine Learning • 25%
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Missile interception • 25%
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Customer Service • 25%
Healthcare • 25%
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Drug testing and effects • 25%
Cognitive studies in mice • 25%
Cybersecurity advancements • 25%
Public adoption strategies • 25%
Regulatory impact analysis • 25%
Digital currency transaction efficiency • 25%
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Neuroscience • 25%
Genetic Diseases • 25%
Cancer Research • 25%
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