Today I established the fundamental architecture for SpaceBio Twin, an AI-based digital twin which models biological stress in long-duration spaceflight.

Current status:

• Built mission risk simulator to predict DNA damage, mitochondrial stress, immune dysfunction, inflammation, and cellular senescence due to mission parameters.
• Created countermeasure engine to propose hypotheses for intervention on biological risks predicted.
• Created 5,000 synthetic missions to generate preliminary training data.
• First training of a machine learning model (Random Forest) predicting biological risk scores from mission parameters.
• Built prediction pipeline which loads the trained model and produces risk predictions and hypotheses for countermeasures on specific missions.

Next Steps:

• Add layers for biological pathway evidence
• Use NASA space biology data
• Incorporate mission comparisons
• Begin building the interactive dashboard

Excited to start building it into a true biological space twin.