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Cemal Erdem

Our lab works on integrating multi-omics datasets, machine learning, and large-scale mechanistic models to build clinically predictive computational models.

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Affiliation
Assistant professor at Department of Medical Biosciences
Location
By 6M, Sjukhusområdet Umeå universitet, 901 85 Umeå

The overall theme of the Erdem Lab is to merge machine learning and mechanistic models with patient data to create clinically predictive computational models for cancer.

Research Interests

  • Mathematical modeling of signaling cascades
  • Systems biology of cancer
  • Quantitative Systems Pharmacology (QSP)
  • Precision medicine

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