Starting Year: 2016
Title: PERSEIDS – Personalizing cancer therapy through integrated modeling and decision
Abstract: The goal of project PERSEIDS is to create accurate classifiers and to identify factors associated with disease outcome, which in turn will support the design of adaptive controllers and decision systems. The ultimate aim is to develop robust clinical decision support systems for personalized cancer therapy optimization by integrating patient multilevel data.
Funding Source: FCT – Fundação para a Ciência e a Tecnologia, I.P.
Typology: R&D Project
Reference: PTDC/EMS-SIS/0642/2014
Principal Investigator (PI): Susana Vinga
PI’s institution:
NOVA Math members involved: Marta B. Lopes
PERSEIDS – Personalizing cancer therapy through integrated modeling and decision
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