Part 6/10:
One of the critical challenges in developing accurate models—particularly in space biology—is the scarcity of data. For instance, to study radiation effects, there are only 106 astronauts who have traveled to space. Such a tiny sample size makes it difficult to train robust AI models capable of capturing causal relationships between radiation exposure and genetic mutations leading to cancer.
To address this, the team devised a novel approach: integrating human and mouse data. By combining human astronaut data with animal models—specifically, rodent data—they created a more substantial and diverse dataset.