Demonstrates accelerated diagnostic design in pathogens, suggesting improved efficiency for use in healthcare.
Computational intelligence, including pangenome-guided target mining, machine-learning-based guide RNA optimization, and autonomous AI agents, is shifting CRISPR diagnostic design from empirical screening to systematic, data-driven engineering and accelerating the path from pathogen discovery to deployable diagnostics.
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Wang et al. (2026) studied this question.
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