#AI reads Urine# Urinary Cell-Free DNA detection platform for bacterial cystitis diagnosis via spot-based machine learning

This research developed a novel diagnostic platform combining fluorescence imaging and machine learning for the rapid and accurate diagnosis of bacterial cystitis. The platform uses specially treated slides to enrich and visualize urinary cell-free DNA within 20 minutes, and an algorithm analyzes the size distribution patterns of the fluorescent spots—finding that bacterial infections are dominated by small spots, while non-bacterial inflammation is characterized by large spots. In clinical testing, this technology achieved an overall diagnostic accuracy of 94.43% without complex pre-processing, significantly outperforming traditional methods and offering a new solution for point-of-care precision diagnosis.

J Adv Res. 2025 Nov 26:S2090-1232(25)00956-7. doi: 10.1016/j.jare.2025.11.060.

Youhe Gao

Statement: During the preparation of this work the author(s) used Deepseek / AI reading for summarizing the content. After using this tool/service, the author(s) reviewed and edited the content as needed and take(s) full responsibility for the content of the published article.

For earlier AI Reads Urine articles：

https://www.keaipublishing.com/en/journals/advances-in-biomarker-sciences-and-technology/ai-reads-urine/