Two student teams — each including Waterloo Engineering students — are partnering with Princess Margaret Cancer Centre to solve real clinical and research challenges as part of i-Capstone, the University of Waterloo's first interdisciplinary undergraduate capstone program.
Team CT Optimizers built a machine learning model and dashboard prototype to automate how the cancer centre fills last-minute CT scan slots, reducing the manual, time-sensitive work currently handled by patient flow coordinators. A second team, We Dream in Voxels, extended an existing two-dimensional tumour drug-mapping model into three dimensions and rebuilt it in Python, achieving speeds more than 100 times faster than the original.
Both projects are designed with real-world application in mind: CT Optimizers' dashboards are built as a prototype for clinical use, while We Dream in Voxels' model will inform future research and, eventually, patient treatment.
Read more at Waterloo capstone projects tackle cancer care for the full story.