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AI has already demonstrated success in healthcare, and its application in space medicine could be transformative. For example, scientists are exploring whether machine learning frameworks can identify biological factors—such as genetics—that make certain individuals more susceptible to radiation-related cancers. By pinpointing these vulnerabilities, clinicians can develop tailored treatments and protective measures for astronauts.
Addressing Data Challenges with Federated Learning
One challenge faced by researchers is the scarcity and inconsistency of data—only 106 astronauts have ever traveled to space, and data collection was not uniform across missions. To overcome this, the initiative employs an innovative AI approach called Open Federated Learning.