Systems and applications for assessing the risk of overall developmental delay in individuals
By detecting specific serum protein biomarkers and combining them with artificial intelligence algorithms, the accuracy and repeatability issues of early identification of comprehensive developmental delay have been resolved. This enables non-invasive and accurate assessment of the risk of comprehensive developmental delay, and is applicable to hospital and children's health follow-up scenarios.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- FUDAN UNIVERSITY
- Filing Date
- 2026-02-04
- Publication Date
- 2026-06-30
AI Technical Summary
Current technologies lack accurate and objective serum molecular markers for early identification of total developmental delay, and existing screening methods lack intelligent analysis tools based on big data and artificial intelligence technologies, resulting in inaccurate and poor reproducibility of assessment results for total developmental delay.
An individual global developmental delay risk assessment system based on serum protein biomarkers was adopted. By detecting protein biomarkers encoded by the APOB, CAVIN1, CHIT1, MATR3, RAB7A, FABP5, GSK3B, PSMD8, PTPRA, and SPR genes, combined with a data processing module and artificial intelligence algorithms, the risk of global developmental delay in individuals can be assessed.
It provides a non-invasive, highly accurate, and reproducible method for early identification of developmental delay, improving the accuracy and reliability of the assessment. It is applicable to scenarios such as hospital laboratories and children's health follow-up.
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