What problems are you trying to solve?
Nearly half of Canadians are expected to receive a diagnosis of cancer in their lifetime. In 2012, the cost of cancer care was $7.5 billion, with the highest cost resulting from late-stage cancer care. Recovery often depends on close monitoring of treatment response and detecting recurrence early on.
Current monitoring techniques include repeated imaging of a patient’s tumor to determine growth rate or the use of single biomarkers, which have limited accuracy. These approaches are costly and provide generic data on the presence of cancer with no specific treatment guide. Cancer care requires personalized treatment for a higher chance of success.
What technologies are applied to solve the problem?
Imagia Canexia Health, working in partnership with BC Cancer Research, DNAstack, Microsoft, Queen’s University, and University Health Network, will develop precision oncology software. Using artificial intelligence and machine learning, the software will provide real-time assessments of tumor status and potential response to targeted therapies. This solution will enable clinicians to effectively detect earlier signs of patient relapse and recommend alternative treatment options for a wide range of cancers. Other supporting partners involved in this project include Oxford Nanopore Technologies, Illumina, Kingston General Health Research Institute, and Kingston Health Sciences Centre.
By harnessing AI, ML, and big data we can better predict patient response by integrating and analyzing multimodal patient data. Through the power of predictive analytics, oncologists will be able to tailor treatments to individual patients, ensuring the best possible outcome, more accurately and at less cost than current solutions.
Technology at Work
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