AI RESEARCH
Automated Genomic Interpretation via Concept Bottleneck Models for Medical Robotics
arXiv CS.CV
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ArXi:2510.01618v2 Announce Type: replace We propose an automated genomic interpretation module that transforms raw DNA sequences into actionable, interpretable decisions suitable for integration into medical automation and robotic systems. Our framework combines Chaos Game Representation (CGR) with a Concept Bottleneck Model (CBM), enforcing predictions to flow through biologically meaningful concepts such as GC content, CpG density, and k mer motifs.