By physician referral or invitation only

Artificial Intelligence Prediction Tool in NMIBC

The purpose of this study is to develop and validate an Artificial intelligence (AI)-based tissue sample analysis tool that can predict response & progression rates to chemotherapy in intermediate-risk (IR) and high-risk (HR) Non-muscle invasive bladder cancer (NMIBC) patients. This study will use AI-based tissue sample analysis as a possible tool to help predict which patients are at high-risk for cancer recurrence and progression after surgery and chemotherapy treatment. Specimens will be obtained for each patient before treatment and at the 12, 24, & 36 month follow-up to be analyzed using the AI-based tool.

Age & Gender

  • 18 years ~ 99 years
  • Male, Female, Gender Inclusive

Contact the Team

Location

Thank you for your interest, but this study is recruiting by invitation only.

United States (Nationwide)

Additional Study Information

Principal Investigator

Marc Bjurlin
LCCC - Clinical Trials

Study Type

Clinical or Medical
Observational

Study Topics

Cancer (Bladder)

IRB Number

24-1597

ClinicalTrials.gov

NCT05825950

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  • research_for_me@unc.edu
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