Bladder cancer: who works on it

One card per institution. Filter by target, by country, or show only institutions in EU-13 (Horizon Europe widening) countries.

• All targets
• HER2 47
• PD-1 19
• PD-L1 10
• FGFR 10
• PI3K 1
• TP53 1
• AKT 0
• mTOR 0
• STAT3 0
• MAPK 0
• PPAR 0
• CTNNB1 0
• TROP2 1
• EGFR 0
• ERK 0
• MYC 0
• AMPK 0
• CTLA-4 1
• PTEN 0
• VEGF 4
• STING 0
• GPX4 0
• MMP-9 0
• BCL-2 0
• YAP 0
• IL-6 0
• JAK 0
• NRF2 0
• PSMA 1
• AR 0
• B7-H3 0
• CDK4/6 1
• HIF-1 0
• HSP90 0
• IL-15 1
• JNK 0
• PARP 0
• ALK 0
• ARID1A 2
• BRCA1 1
• COX-2 0
• HDAC 1
• IDH 1
• KRAS 0
• LAG-3 0
• METTL3 1
• PIK3CA 0
• PKM2 0
• SGLT2 0
• TERT 0
• AXL 0
• BRAF 1
• BRCA2 1
• EZH2 0
• FAK 0
• FTO 0
• GLP-1 0
• HMGB1 0
• IDO1 0
• MDM2 0

EU-13 is a filter, not a ranking: it only narrows the list.

2 of 2+ institutions, ordered by recent publications and open trials. This is not a ranking of quality.

Trials whose registry record says individual participant data (IPD) will be shared.

No trial in this view states that it shares participant data.

Find publications on this disease by a MeSH method term, for example a sequencing or imaging method.

• Single-Cell Analysis 22
• Organoids 11
• Mendelian Randomization Analysis 15
• CRISPR-Cas Systems 14
• Gene Expression Profiling 78
• Sequence Analysis, RNA 4
• Whole Genome Sequencing 7
• Exome Sequencing 3
• Proteomics 27
• Metabolomics 15
• Mass Spectrometry 4
• Flow Cytometry 17
• Immunohistochemistry 93
• Liquid Biopsy 23
• Circulating Tumor DNA 33
• Xenograft Model Antitumor Assays 76
• Positron-Emission Tomography 10
• Magnetic Resonance Imaging 40
• Machine Learning 44
• Deep Learning 24
• Cohort Studies 76
• Genome-Wide Association Study 18

• Early Detection of Bladder Cancer Using Advanced Feature Engineering and Swarm Intelligence Optimization on EHRs.

  IEEE Trans Biomed Eng, Nov 2026

• Machine learning-integrated explainable artificial intelligence for survival prediction in urothelial carcinoma with enfortumab vedotin: an exploratory real-world analysis.

  Expert Opin Biol Ther, Sept 2026

• Artificial intelligence for predicting BCG response in non-muscle-invasive bladder cancer: a systematic review.

  BJU Int, Aug 2026

• Pan-cancer multi-omics machine learning defines a lactylation-associated immune-excluded tumor state with proteomic and experimental corroboration.

  Comput Biol Chem, Jul 2026

• Non-invasive diagnostic evaluation of urinary exosomal let-7c cluster expression in bladder cancer using machine learning approaches.

  BMC Cancer, Jul 2026

• Development of multiphasic CT-based delta-radiomics model for predicting postoperative recurrence risk in bladder cancer.

  BMC Med Imaging, Jul 2026

• Interpretable machine learning model of contrast-enhanced CT radiomics for predicting post-BCG recurrence in high-grade non-muscle-invasive bladder cancer.

  World J Urol, Jul 2026

• Machine learning-based identification of basement membrane-related signature to predict recurrence and immunotherapy benefit in bladder cancer.

  Immunol Res, Jun 2026

• Application Value of Radiomics-Based Machine Learning for Preoperative Risk Stratification of Bladder Cancer: Systematic Review and Meta-Analysis.

  J Med Internet Res, Jun 2026

• Machine-learning-assisted artificial olfactory colorimetric sensor array for bladder cancer early detection from urinary volatile organic compounds.

  Biosens Bioelectron, Jun 2026

See which targets of this disease your abstract mentions, and go to the people working on them.