Breast cancer is the most commonly diagnosed cancer in Canadian women, representing 26 percent of all diagnostics. The overall cancer survival rate has increased from 25% in the 1940s to 60%. Thus, the proportion of breast cancer survivors is increasing significantly. There is a consensus that survivors benefit from exercise during and after treatment. However, the benefits of exercise may vary as a function of the stage of disease, the nature of the medical treatment, and the current lifestyle of the patient.
Medtronic is a global medical device company and leader in patient monitoring technologies that has a key area of interest for developing technology to effectively monitor patients' cerebral blood flow (i.e., perfusion) in relation to systemic blood pressure.
Maintaining a prescribed intra-operative blood pressure range for patients does not guarantee a healthy cerebral blood flow, as they are two independent feedback mechanisms.
"Seismocardiogram (SCG) is a signal that is captured by placing an accelerometer on the human chest. This signal captures very important timing information such as opening and closing of the heart valves. In addition to these timing information, the non-invasive nature of this signal makes it an attractive solution for remote monitoring of patients with heart conditions.
The morphology of SCG signal changes depending on different types of heart conditions and diseases. A mathematical model represents the morphology of a signal in terms of certain parameters.
Fifty percent of diabetic patients are expected to develop some level of a vision threatening problem known as diabetic retinopathy (DR). Although blindness caused by DR is very common amongst diabetic patients, it is preventable in at least 90% of the patients through annual screening and proper follow up. However, financial burdens, lack of access to a specialist (specially in remote areas) to perform routine checkup and the specialists busy schedules make it almost impossible for many patients to follow up properly on the status of their disease.
The recent advances in machine learning based on deep neural networks, coupled with the availability of phenomenal storage capacity, are transforming the industrial landscape. However, these novel machine learning approaches are known to be data hungry, as they need to tune a huge number of parameters in order to perform well. As more and more AI based applications are being deployed to learn from personal data, privacy concerns are rising, and more specifically on sensible domains like medicine, finance or mobile related data.
Histopathology is the study and examination of tissue slides under magnification and is the definitive diagnosis for many diseases including cancer. With the advent of whole-slide scanners and image management software systems, computational pathology tools can be created to measure disease in an efficient and objective manner. This is in contrast to the labourious and subjective manual analysis approaches. In Canada, breast cancer is the 2nd cause of cancer death.
The main goal of this project is to design a UAV-based image acquisition system to capture high quality full body images which will be integrated into DermEngine Full Body Imaging (FBI) module. With this system, we intend to achieve consistency between different images that FBI needs to analyze.
For patients with end-stage disease, like cirrhosis, their only treatment option is life-saving organ transplantation. The wait for an organ can take many years over which the patient's condition continues to deteriorate as there is no other treatment. However, maintaining physical activity and a good nutritional intake is necessary to remain on the wait and have successful health outcomes post-transplantation.
We recently developed a rapid and cost-effective pre-clinical technology that is well suited for precision medicine the ex ovo chicken embryo ChorioAllantoic Membrane (CAM) assay. Our goal is to perform a pilot study that combines tumor genotyping data and the use of personalized CAMavatars, to predict drug sensitivity in renal cancer patients and to test newly developed cancer therapies. We also propose technical advances to the CAM technology and the development of a humanized CAMavatar model that can be used for testing immunotherapy.
The Canadian Institute for Military and Veteran Health Research (CIMVHR), affiliated research partners at universities across Canada, and IBM Canada Ltd. have identified a significant and universal issue facing health researchers that applies to Canadian military, Veteran and family health (MVFH) research and health research for the Canadian population at large.