The CDTRP Platforms consolidate new and emerging tools offered at the national level to meet the needs of the community and promote cohesion across all areas of donation and transplantation. The four platforms provide resources and tools to support existing and future projects from across the five themes.

The CDTRP Platforms consolidate new and emerging tools offered at the national level to meet the needs of the community and promote cohesion across all areas of donation and transplantation. The four platforms provide resources and tools to support existing and future projects from across the five themes.

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Data Collection and Bioinformatics

The amount of electronically-available clinical data is growing exponentially. Biological samples and research data collected in Canada describing phenotypes, genotypes and treatment processes of patients and their outcomes show great potential to transform biological and clinical research. The CDTRP is committed to working with its institutional partners to integrate a national infrastructure linking organ and stem cell donation, solid organ transplant and hematopoietic cell transplant (HCT) data and samples collected by CDTRP investigators in a secure and usable interface.

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Biomarkers

Biomarkers are key factors to better match donors and recipients, improve prediction of graft survival and development of co-morbidities, monitor immunosuppression and help develop treatments to improve life expectancy. The CDTRP National Specimen Inventory (NanSI) team is leading the development of an online directory of biomarker experts across Canada to increase the use of biomarkers in different disease settings, provide translational applications and generate data to inform larger grant applications.

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Patient-reported outcome measures (PROMs)

Currently, clinical assessment, patient engagement in treatment planning and management of physical, psychological or social concerns are fundamental to transplant patients’ routine clinical care. The CDTRP is proposing PROMs to be standardized and integrated into national research to help optimize complex biological and clinical transplantation studies.

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Artificial Intelligence and Mathematical Optimization

AI can be applied to diagnostic processes, where intense research activities in pathology and imaging already occur. Decision-making and precise prediction problems can be readily addressed using AI and/or mathematical optimization. Ongoing collaborations allow the CDTRP to offer specific training on applied machine learning and mathematical optimization in donation and transplantation science.

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