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PrECISE





  • PrECISE

    Personalized Engine for Cancer Integrative Study and Evaluation




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Welcome to PrECISE


The PrECISE project is a pilot project that combines hypothesis-driven strategies with data-driven analysis in a novel mathematical and computational methodology for the integration of genomic, epigenetic, transcriptomic, proteomic, and clinical data with the goal of risk-stratifying patients and suggesting personalized therapeutic interventions. We have the following specific objectives:

  • Development of a comprehensive computational methodology:
  • To integrate publicly available multi-omics datasets, well-characterized multiple-biopsies cohorts, and literature-driven knowledge powered by the Watson cognitive computer, developed at IBM.


  • Characterization of intra-tumour heterogeneity:
  • We will apply PrECISE to prostate cancer molecular cohorts where multiple biopsies have been generated from each patient.


  • Suggestion of chemotherapy drugs and targeted therapies for each patient:
  • We will investigate molecular mechanisms, identify suitable intervention points for therapy and suggest personalized therapies based on patient’s clonal signatures, and we will validate our predictions in a panel of prostatic cell lines.


  • Development of PrECISE into deployable, easy to use software tool:
  • We will integrate the developed computational modules with the Watson cognitive technology developed at IBM in a user-friendly interface and make PrECISE accessible to the clinical research community.


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May 2016

A postdoctoral position is opened in the group of Julio Saez-Rodriguez at the Joint Research Center for Computational Biomedicine (JRC-COMBINE), an initiative of RWTH Aachen, Aachen University Hospital and Bayer Technology Services.

Applicants interested broadly in their research are welcome, but they are particular looking for a postdoc to work within the EU-H2020 PrECISE project, to combine hypothesis-driven with data-driven analysis in a novel mathematical and computational methodology for the integration of genomic, epigenetic, transcriptomic, proteomic, and clinical data, applied to prostate cancer.

All the information is available on the JRC-COMBINE News web page.






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