The summary of most recent studies
| Number | Conducted research | References |
|---|---|---|
| 1 | The 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] |
| 2 | The analysis of transcriptional biomarkers that can predict patient response to immune-activating therapies, such as TLR9 inhibitors, including vidutolimod. | [78] |
| 3 | The development of diagnostic kits and devices for detecting urothelial tumors by assessing the methylation levels of these markers TRPS1, HAND2 and ZNF154. | [79] |
| 4 | The use of AI models such as fuzzy logic and deep neural networks to analyze medical images and predict treatment response. | [80] |