Inflammation at the crossroads of reproduction: SIRI as a prognostic signature of female infertility in hybrid regression–machine learning models | Synapse
February 13, 2026Open Access
Inflammation at the crossroads of reproduction: SIRI as a prognostic signature of female infertility in hybrid regression–machine learning models
Key Points
This research investigates the connection between chronic systemic inflammation and female infertility, focusing on SIRI as a prognostic biomarker.
Utilized hybrid regression and machine learning models to analyze data.
Assessed the impact of inflammatory markers on fertility outcomes.
Identified SIRI as a significant predictor for infertility risk.
Conducted clinical evaluations to validate findings.
Confirmed a strong association between chronic inflammation and infertility.
Demonstrated that SIRI serves as a reliable biomarker for assessing infertility risk.
Showed that machine learning models improved the accuracy of predictions related to infertility.
Abstract
These findings support the role of chronic systemic inflammation in female infertility and highlight SIRI as a valuable biomarker for risk prediction and clinical assessment.