Part 7/10:
Rodent models serve as homologs for human biology, particularly in genetic studies related to radiation effects. This strategy enables the training of AI algorithms that can better predict which genes may cause cancer in astronauts, effectively amplifying limited human data with rich, complementary insights from animal studies.
Achieving a Breakthrough: Building a Viable AI Model
Through this innovative data integration and training process, the team was able to develop a powerful AI model capable of predicting causal genetic factors linked to radiation-induced cancer. While it may sound almost "magical," this approach underscores the transformative potential of combining federated learning with cross-species data.