My internship will take part of a comparative study aiming at exploring structural conditions and individual integration pathways of resettled refugees with inter-sectional risks of exclusion in Canada and Germany. The study consists of 1) a scoping literature review on resettlement pathways of families with disabilities and 2) mix-method data collection from resettled refugees with […]

Prostaglandin E2 stimulates bone formation in vivo and exerts its effects through the EP4 receptor. Unfortunately prostaglandin E2 and agonists for the EP4 receptor also cause unacceptable systemic side effects which have limited their clinical use as anabolic agents. We developed novel bone-targeting prodrugs that can deliver EP4 agonists selectively to bone and liberate active […]

Episodic memory refers to an ensemble of memory processes and is the capacity to recollect where and when past events occurred, which involves subjective consciousness and a sense of time in retrieving past experiences. The hippocampus is essential for representing spatiotemporal context and establishing its association with the sensory details of daily life to form […]

Episodic memory refers to an ensemble of memory processes and is the capacity to recollect where and when past events occurred, which involves subjective consciousness and a sense of time in retrieving past experiences. The hippocampus is essential for representing spatiotemporal context and establishing its association with the sensory details of daily life to form […]

Despite the growing interests and publications in metabolomics, there is a significant gap between what have been found through scientific studies and what have actually been applied in clinical practice and preventative healthcare. This proposed project aims to fill this gap by addressing two major causes; 1) lack of utilization in existing metabolomics data and […]

Despite the growing interests and publications in metabolomics, there is a significant gap between what have been found through scientific studies and what have actually been applied in clinical practice and preventative healthcare. This proposed project aims to fill this gap by addressing two major causes; 1) lack of utilization in existing metabolomics data and […]

This project aims to train machine learning models that use millimetre-wave radar data to non-invasively detect health incidents, such as overdoses in public bathroom stalls. The partner, Brave Technology Coop, has developed a small, wall-mounted, radar sensing unit on which we want to directly deploy real-time gesture detection software, an instance of cutting-edge “Edge AI.” […]

Blood tests are highly sought after to enable earlier cancer detection. We previously developed a blood test for breast cancer that is in prospective clinical study in Alberta, Manchester (UK), Oklahoma (USA) and South Korea. The proposed project will investigate some clinical samples collected through this work to support the primarily focus of identifying biomarkers […]

Blood tests are highly sought after to enable earlier cancer detection. We previously developed a blood test for breast cancer that is in prospective clinical study in Alberta, Manchester (UK), Oklahoma (USA) and South Korea. The proposed project will investigate some clinical samples collected through this work to support the primarily focus of identifying biomarkers […]

Our aim is to use machine-learning to improve treatment of post-surgical pain in children and adults. Most people addicted to opioids were initially exposed through the treatment of pain from trauma and/or surgery. The opioid crisis is reaching the pediatric population, in whom effective post-surgical pain management, with less reliance on prescription of opioids, is […]

Our aim is to use machine-learning to improve treatment of post-surgical pain in children and adults. Most people addicted to opioids were initially exposed through the treatment of pain from trauma and/or surgery. The opioid crisis is reaching the pediatric population, in whom effective post-surgical pain management, with less reliance on prescription of opioids, is […]

Our aim is to use machine-learning to improve treatment of post-surgical pain in children and adults. Most people addicted to opioids were initially exposed through the treatment of pain from trauma and/or surgery. The opioid crisis is reaching the pediatric population, in whom effective post-surgical pain management, with less reliance on prescription of opioids, is […]