Application of CXCL1 in diagnosis of calcified aortic valve disease
By detecting the expression level of CXCL1, a diagnostic model was constructed using a reagent kit and machine learning algorithms, which solved the problems of convenience and effectiveness in the diagnosis of calcific aortic valve disease, and achieved early diagnosis with high accuracy and sensitivity.
Patent Information
- Application Number
- CN202511652349.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-11-12
- Publication Date
- 2026-02-27
AI Technical Summary
Current technologies lack convenient and effective methods for diagnosing calcific aortic valve disease. Existing diagnostic methods, such as physical examination, have low sensitivity, echocardiogram image quality is affected by the patient's body size, and cardiac CT carries radiation risks. Finding a more convenient and effective diagnostic method is an urgent technical problem to be solved.
Using CXCL1 as a biomarker, the expression level of CXCL1 in samples is detected, and diagnostic methods are employed using reagent kits, chips, test strips, and other products. A diagnostic model is constructed by combining machine learning algorithms to achieve early diagnosis of calcific aortic valve disease.
CXCL1 demonstrates good diagnostic efficacy, with high accuracy and sensitivity, providing a new approach to the diagnosis of CAVD and possessing significant scientific and clinical application value.