Primer set and application thereof, and training method of bacterial vaginosis diagnosis model
By combining multiplex PCR primer sets and high-throughput sequencing with machine learning models, the insufficient sensitivity and specificity of BV detection in existing technologies have been addressed, achieving efficient and low-cost BV diagnosis that is suitable for clinical applications.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- PEOPLES HOSPITAL PEKING UNIV
- Filing Date
- 2025-06-11
- Publication Date
- 2026-06-19
AI Technical Summary
Existing technologies lack sufficient sensitivity and specificity in BV detection, failing to fully reflect the vaginal microbiome structure. Furthermore, the high cost and complex operation of these technologies make them difficult to popularize in clinical practice.
We used multiplex PCR primers for targeted amplification, combined with high-throughput sequencing and machine learning models, to detect 12 target pathogens and construct a diagnostic model for bacterial vaginosis.
It achieves high sensitivity and specificity in BV detection, covers more pathogens, simplifies operation, reduces costs, and is suitable for clinical applications.
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Figure CN120866543B_ABST
Abstract
Citation Information
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