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.