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HARVARD Citation
Kamasako, T. et al. (2022). Supervised machine learning algorithm identified KRT20, BATF and TP63 as biologically relevant biomarkers for bladder biopsy specimens from interstitial cystitis/bladder pain syndrome patients. International journal of urology. pp. 406-412. [Online].