Implement Cancer Genome Interpretater (CGI) in oncology - Looking for clinical sites

The CGI-Clinics4All project is an expansion initiative stemming from the successful EU-funded CGI-Clinics (GA 101057509). Its primary goal is to democratize precision oncology across the EU, broadening the application of the Cancer Genome Interpreter (CGI) platform, an AI-driven tool, in various clinical settings.

CGI-Clinics4All contributes to improving personalised medicine by:

• Addressing Bottlenecks in Cancer Management: CGI-Clinics4All tackles challenges like the non-systematic genomic interpretation, the high number of Variants of Unknown Significance (VUS), and patient poor engagement in cancer management.

• Comprehensive Interpretation: CGI comes as a potential routine solution for cancer genome interpretation in diverse clinical environments, regardless of their resources or profiling technology. 

• Disruptive innovation in precision oncology: CGI acts as a "one-stop shop" by combining its proprietary algorithms with extensive public, private, and hospital-specific expert knowledge databases to increase interpretable variants from 25% to about 60%, through advanced AI data-driven methods. By pushing the boundaries of cancer research into the clinic, it fosters innovation and enables targeted therapies to flourish. 

• Community-driven spirit: The project will benefit from expert curation efforts and extend and will establish virtual Molecular Tumor Boards (vMTBs) to foster collaboration and knowledge exchange, particularly benefiting smaller or widening hospitals within the PRECISEU network.

CGI-Clinics4All supports PRECISEU's objectives by reducing inequalities and scaling deep-tech innovations. It would benefit from PRECISEU’s support, especially on regulatory clinical validation for CE-mark and definition of the business model. The project will also demonstrate its value through health economics analysis for widespread adoption.

Proposal is to run from 2026 to 2028, building upon the initial CGI-Clinics project and harnessing the full potential of the PRCISEU network.