The summary of most recent studies

NumberConducted researchReferences
1The analysis of DNA methylation in biological samples of patients. The combination of studied genes includes, among others, AKAP7, DFNA5, HSD17B2, MTRF1L, PLCG, RPS6KA1, STIM2, SULT1C2, TRABD, TRMT1, UST, and ZNRD1.[76, 77]
2The analysis of transcriptional biomarkers that can predict patient response to immune-activating therapies, such as TLR9 inhibitors, including vidutolimod.[78]
3The development of diagnostic kits and devices for detecting urothelial tumors by assessing the methylation levels of these markers TRPS1, HAND2 and ZNF154.[79]
4The use of AI models such as fuzzy logic and deep neural networks to analyze medical images and predict treatment response.[80]