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Uro-dPCR: Improving bladder cancer recurrence detection by combining digital PCR and Machine Learning

  • Carneiro, J. (Co-supervisor)
  • Filipa Alexandra Tavares Carneiro (Student)
  • João Pedro Rico de Oliveira Vinagre (Supervisor)
  • João Paulo Heitor Brás (Co-supervisor)

Activity: Supervision

Description

PhD supervised at i3S (Porto) / UCP-CBQF / U-Monitor Lda.. Develops a pipeline combining digital PCR and machine learning to improve the non-invasive detection of bladder cancer recurrence.
Period1 May 2026 → …
Degree of RecognitionPhD

UN SDGs

This activity contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

  • Bladder cancer
  • Machine Learning
  • API
  • Digital PCR
  • Non-invasive Diagnostics