Marker for prenatal suicidal ideation
By detecting the abundance of gut microbiota markers in pregnant women's feces and constructing a diagnostic model using machine learning algorithms, the problem of screening for prenatal suicidal ideation has been solved, achieving efficient and safe diagnosis and intervention of prenatal suicidal ideation and improving maternal and infant health.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- WUHAN UNIV
- Filing Date
- 2026-02-05
- Publication Date
- 2026-06-05
AI Technical Summary
The lack of an effective prenatal suicidal ideation screening mechanism in existing technologies makes it impossible to identify and intervene in pregnant women's suicidal ideas in a timely manner, which affects the physical and mental health of mothers and infants.
By detecting the abundance of gut microbiota markers in fecal samples from pregnant women, nine bacterial genera were screened using high-throughput sequencing technology. A diagnostic model was then constructed using machine learning algorithms to achieve a highly specific and sensitive diagnosis of prenatal suicidal ideation.
It provides a highly specific and sensitive method for diagnosing prenatal suicidal ideation. It is simple to operate, safe and non-invasive, reduces the rate of missed diagnosis, and can intervene in a timely manner to improve the physical and mental health of mothers and infants.
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Figure CN121629042B_ABST
Abstract
Citation Information
Patent Citations
CN111500505A
CN120113803A