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Principal Investigator
Name
Nicolas Martelin
Degrees
M.B.A., Ph.D.
Institution
Prostperia SAS
Position Title
Managing Director
Email
About this CDAS Project
Study
PLCO (Learn more about this study)
Project ID
PLCO-1382
Initial CDAS Request Approval
Nov 13, 2023
Title
Estimating bladder cancer risk with novel AI models
Summary
Bladder cancer stands as a prevalent and potentially fatal disease, demanding efficient and precise screening approaches for early identification and treatment. This Artificial Intelligence (AI) project is focused on enhancing the detection of sub-groups of women and men at a higher risk of bladder cancer through the implementation of machine learning algorithms and data analytics.
Aims

- Early Detection: Develop an AI-powered system to find groups of women and men at a higher risk of bladder cancer.
- Reduction of False Positives: Minimize false positives in cancer screening results to avoid unnecessary anxiety and additional confirmatory tests.
- Cost-Efficiency: Enhance cost-effectiveness in healthcare by reducing unnecessary tests and focusing resources on cases with a higher probability of malignancy.

Collaborators

Nicolas Martelin
Benjamin Chen