This research will develop numerical modeling and optimization techniques for the design of radio-frequency (RF) coils used in Magntetic Resonance Imaging (MRI). These techniques will aid in the design of specific RF coils for interventional MRI procedures which impose unique and challenging demands on the RF coils's performance. The first step will be to enhance the current electromagnetic software that has been developed at the University of Manitoba (UofM) to allow the modeling of specialized circuitry found on MR RF coils.
This project will profile the use of new drugs of rheumatoid arthritis, in a population-based sample. Potential differences in the use of these agents will be examined to identify discrepancies in drug use patterns across demographics, which could be addressed through targeted strategies. Our proposal is timely in terms of increasing attention on the part of policy-makers regarding "better, more coordinated evaluation of drug safety and effectiveness" and targeted intitiatives to increase knowledge about the safety and effectiveness of drugs in population-based samples.
The Centre for Operations Excellence (COE) at the Sauder School of Business,University of British Columbia (UBC) was asked by the Spinal Cord Injury Solutions Network (SCISN) and The Rick Hansen Foundation to carry out an evaluation of a forecasting model. SCISN and The Rick Hansen Foundation commissioned the development of the model to a third party consulting firm.
High dose chemotherapy treatment for lymphoma is followed by the infusion of patients’ own bloodforming stem cells to restore the function of the bone marrow. Canada Blood Services provides critical support in processing and storing these essential stem cell products at very low temperatures. On occasion, the recovery of blood cells after the transplant is delayed, increasing the risk of infections and bleeding complications. In many cases, it is not known why there is delayed engraftment.
Cognitive function changes as people age, and for the most part, these changes are not for the good. Not everybody declines with the same rate; however, even people with cognitive impairment can experience different degree of decline. It is also known that a significant proportion of people can remain stable for a time or even improve. The previous statistical and analytical techniques mainly ignored these cases or considered them as diagnosis misclassifications or measurement errors, or insignificant fluctuation.
Corticotropin-releasing factor (CRF) is a chemical found naturally in the brain that plays a key role in the stress response. CRF is also known to be involved in anxiety and mood disorders, as well as various aspects of drug dependence, including long-term relapse to drug use. Pathological symptoms in the form of mood disorders and substance abuse occur, at least in part, as a result of aberrant activity within CRF systems. From this perspective, CRF is a logical target for drug development in the treatment of these disorders.
This Mitacs-Accelerate internship has to do with studying the Emergency Department (ED) operations at the Grand River Hospital. In May of 2008, the provincial government announced funding for a number of hospitals to help them reduce ED wait times. The focus of the internship is an in‐depth study of the ED, and a detailed analysis of all information, patient, staff and equipment flows.
The research to be conducted involves the development of new technology that can detect breast cancer tumours using microwave technology. The necessary mathematical research to perform microwave imaging of the breast will be pursued together with the hardware design needed for such a system. The expertise and academic goals of the two interns offer a combination that will benefit this project.
Arthritis affecting the hip and knee is a common problem causing pain and disability for many Manitobans. Joint replacement surgery is a common treatment for this condition. Although many patients improve after the surgery, there are some who do not. It is in the patient’s, and health system’s best interest to try to learn which patients will gain the best results from joint replacement surgery so to use resources most effectively.
Microbiology analysis is an essential tool for diagnosing infectious diseases in health and medical services. The subfield of Bacteriology receives the largest volume in human specimens (i.e. urine and swab samples). For an average sized clinical lab, 1,000 to 5,000 samples would need to be processed daily. Such high demand in conjunction with the labour‐intensive and error prone analysis techniques makes automation an excellent solution for optimizing laboratory human resources.