Digital Health & Robotics Lab uses quantitative engineering analysis to gain a better understanding of the human body and the technologies that we interface with it. With that understanding, we design better therapeutic strategies, devices, and diagnostics. As a digital health, robotics and medical imaging research group, we focus on enabling technologies for monitoring, diagnosis, rehabilitation and treatment in hospital and home settings.
Image-guided prostate therapy is a minimally invasive approach for cancer diagnosis and treatment that better preserves the neurovascular bundles. Focal treatment such as laser ablation delivers well-controlled thermal energy at the target tissue and efficiently covers suspected tumour areas. (Projects)
Robotic needle guidance devices could deliver medical instruments to the diseased tissue percutaneously for biopsies, ablation and drug delivery under image guidance such as Magnetic Resonance Imaging, enhancing existing invasive and time-consuming techniques for tumour targeting. (Projects)
Multimodality image-guided operating techniques, including advanced imaging, tracking, navigation and steering of medical instruments allows precision image-guided surgeries performed with robotic tools under real-time guidance. (Projects)
We develop techniques to measure high-fidelity electrocardiograms for MRI-guided therapy. We develop devices using magnetohydrodynamic physics for hemodynamic monitoring. (Projects)
We use social media big data and IoT smartphone devices to measure public health reactions to outbreaks including MERS-CoV, H7N9, Ebola, Zika virus, etc. (Projects)
In an effort to gain a better understanding of the world around us, we apply mechatronic and robotic technologies to address real-time problems that benefit local communities. (Projects)