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Axis 3: Precision Oncology and AI

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This Axis is focused on identifying targetable vulnerabilities in tumour cells and their microenvironments and exploiting these discoveries to empower precision medicine, particularly for cancers that impose a high clinical and societal burden, are aggressive and difficult to treat, or are rare and lack effective therapies. Clinician-scientists, surgeons and pathologists are deeply embedded as collaborators of this Axis, facilitating the development of new models and enabling access to patient samples and data, while allowing novel precision oncology strategies to be translated to the clinic. This includes a strong network of collaborators across multiple FRQ-funded Centres and Institutes, Thematic Networks including the Reseau du recherche en cancer (RRCancer), as well as national networks such as the TFRI Marathon of Hope Cancer Centres Network (MOHCCN), where the GCI plays a leading role. 

Axis lead: Ian Watson

Theme 1

Name                          Department
Tal Arbel Electrical & Computer Engineering
Morteza Rezanejad  
Kaleem Siddiqi Computer Science
John Stagg Microbiology & Immunology
Logan Walsh Human Genetics

 

Theme 2

Name Department
Amin Emad Electrical & Computer Engineering
Philippe Gros Biochemistry
Elena Kuzmin Concordia Dept. of Biology
Alain Nepveu Biochemistry
Morag Park Oncology
Yasser Riazalhosseini Human Genetics
Simon Roy Pathology
Ian Watson Biochemistry
George Zogopoulos Surgery