Edge-Native Intelligence for Sovereign Life Science Data: Architecture Patterns for Genomic Research at the Computational Frontier

Key Points

• To advocate for edge-native architecture in processing sovereign life science data, particularly in genomics.
• Proposes LQM-to-SQM intelligence progression for genomic AI.
• Contextualizes within DRAGEN and Clara Parabricks frameworks.
• Extends the Reality Construct framework.
• Establishes edge-native architecture as a default for genomic data processing.
• Frames data sovereignty as an essential architectural consideration.