Computational Intelligence Accelerates CRISPR‐Cas‐Based Diagnostic Design
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.
Authors
- Qiurun He (ORCID: https://orcid.org/0000-0002-5333-6558)
- Hengyu Wang
- Yong Hua Sheng (ORCID: https://orcid.org/0000-0002-5752-9138)
- Xuhu Mao (ORCID: https://orcid.org/0000-0003-2924-866X)
Institutions
- Army Medical University (CN)
Publication Details
- Journal
- iLABMED
- Published
- 2026-06-09
- DOI
- https://doi.org/10.1002/ila2.70065
- Primary Topic
- CRISPR and Genetic Engineering
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China