Skin-penetrating bone-anchored implants are used in a variety of applications to provide tremendous functional benefits to patients. Globally, the dental implant industry has been valued at 5.08 billion USD where implants are used for replacing single teeth, for larger prostheses, and for full dental arches. The success of these implants relies on a structural integration between the implant and the living bone. Evaluation of the integrity of the bone-implant interface is important to prescribe loading, to identify the risk of failure, and to monitor the long-term health of the implant.
While mammograms remain the best available technology for early detection of breast cancer, there are a high number of false positive mammograms and biopsies, leading to increased costs to the medical system on follow-up procedures and increased patient anxiety. This project evaluates the performance of artificial intelligence (AI) systems for breast cancer detection using about 100,000 digital mammograms from the BC Cancer Breast Screening Program.
Dementia in general and Alzheimer Disease in particular are among the most challenging health conditions in our century. Experiencing cognitive decline, resulting in relying on others for daily living activities and impairment in basic mental tasks are the main symptoms. There are yet no proven treatments to slow or prevent Alzheimer's Disease or dementia progression; thus, they eventually need full-time care. To help patients to stay at their own home longer and ease the caregiver burden, Smart Assistive Technology (SAT) products may be greatly beneficial.
Many aspects of healthcare are time consuming and error prone. Recently there has been great progress in using artificial intelligence to solve a number of problems. One of the best examples of this is image labelling using a type of neural network approach called deep learning. Recent research has shown that deep learning approaches can outperform expert human radiologists when diagnosing disease in chest x-rays, in some situations. In this project we use a large set of chest x-rays as a test bed and develop a new method for software based radiological diagnosis using deep learning models.
The proposed research project has two aims: 1) to understand the experiences of Canadian Military Veterans with lower extremity pain when participating in aquatic therapy; 2) To determine the effectiveness of aquatic therapy versus land-based therapy on Canadian military veterans with chronic lower-extremity pain.
Geriatric rehabilitation programs are effective for restoring and improving the functional independence and quality of life. Nevertheless, the aim of the therapy is to return home and once it is safe, based on the condition of the patient and social environment, patients are encouraged to be discharged home. Unfortunately, this does not mean that these patients are fully rehabilitated and have reached their rehabilitation potential.
Due to COVID-19, adoption of and investment in technological solutions for remote mental health services (teletherapy) is rapidly increasing. While the evidence-base for teletherapy for individuals is robust, teletherapy research with families has been limited. Further, uptake of teletherapy by clinical training programs has been slow and knowledge about the feasibility of using these interfaces for remote live supervision has not yet been established.
In this project, we plan to study and improve the existing Best Tests section of the Clinician Portal from Alpha Laboratories. Best Tests provides metrics to clinicians that allow them to compare the effectiveness and cost of their test ordering patterns. However, the problem is that many of these comparison metrics are not easy to understand and even harder to integrate into the existing routines of doctors, nurse practitioners, and lab orderers (i.e., clinicians).
Engage Nova Scotia currently holds the most information on Canadian’s well-being in one place, both in terms of number of Canadians and the content of the information. Drawing from the Canadian Index of Well-Being framework, we are able to compare well-being between communities in Nova Scotia to better understand what helps or hinders a high quality of life. This project will focus on analyzing the well-being data and developing infrastructure within the organization to build on this research.
The general objective of this project is to test for improvements in the physiological and psychosocial health of residents in a wellness-centred community (e.g. the Wellness Suites) who engage in a prescribed healthy lifestyle that emphasizes regular exercise and a modified vegan (i.e. Pegan) diet. Physiological, molecular, and psychosocial assessments will be used to identify participant progress from day of intake to six months, and to identify new biomarkers of healthy aging.