Dignitas International is a Toronto-based humanitarian organization, which works with the Malawian Ministry of Health to develop and disseminate a healthcare delivery model that increases access to essential HIV/AIDS prevention, treatment, care, and support at the community-level. In 2004, Dignitas established its pilot project in Zomba, the fifth largest district in Malawi with the country's second highest adult HIV infection prevalence at 17.8%.
Various deterministic and stochastic epidemic models for directly transmissible diseases, such as influenza, measles, HIV and SARS, have attracted increasing attention from researchers. However the most common models are still based on restrictive assumptions which refrain from accurate description of infectious agent's characteristics and their propagation from individual to individual, in time and space. In this project we relax two important epidemic model hypotheses.
Nurses injure their backs at alarming rates. Experts now agree that most injuries are not due to a single lifting activity where the load exceeds the spine's ability to support it, as has been the conventional view. Instead, it is likely that most back Injuries are the result of the total loading (cumulative load) the spine is exposed to over the day. Unfortunately, it is difficult to estimate cumulative loading of the spine using conventional methods. The applicant proposes a new method for estimating cumulative loading which involves measuring changes in a nurse's height.
Nouse® software technology is a unique Canadian patented technology that uses advanced Video Recognition algorithms to allow a computer user to operate a computer hands‐free using the nose )or any other part of the body). Essentially, the Nouse® allows an individual to use their nose as a mouse. Over the past 4 years, a partnership between the University of Ottawa, Bruyère Continuing Care and IVIM Inc. has been working on refining this technology to ensure it is suitable for a physically disabled population.
In this project we will translate and test artificial intelligence techniques to segment medical images with the capability to perform more accurately than conventional methods. The technique is expected to largely eliminate tedious manual delineation of suspicious objects in medical images or, at least, significantly reduce the intensity and frequency of manual modifications traditionally preformed by radiologists.
IMV has developed a novel depot-based vaccine platform that can be used with a variety of antigens and adjuvants, which can exhibit rapid and enhanced immune responses following a single dosage. This project will use cell tracking via molecular MRI to explore the immune cell migration in real time in an animal model of cancer, which in turn, will affect cancer growth. The novel application of molecular MRI to track regulatory T cells and effecter cells in a tumor challenge model will yield important information on such regulatory processes.
This project will examine the barriers to health care services experienced by the people of Labrador. It will be conducted in three stages. First, a literature review will examine health issues facing Labradorians. Included in this will be a literature review of health research conducted in Canada's northern territories, as this area is culturally and geographically similar and issues parallel many of those in Labrador. Second, existing health status and health service utilization data will be examined to document current health status and utilization of health care services in Labrador.
Dynacon Inc. is a company that specializes in applying automation and robotics technology to the microbiology industry. Their complete robotics control systems automate the repetitive and time consuming process of sample handling and labelling, which were previously performed by lab technicians. The current project aims to enhance the reliability and overall value of the robotics system by developing intelligent imaging and vision algorithms to aid in the automation process.
Aptamers are single stranded DNA molecules that due to their sequence bind to specific target molecules. The process for the identification of aptamers for a specific target involves exposure of a large number of random sequences to the target followed by selection of sequences that bind. This process requires several several selection cycles for success. Selection is based on two overlapping factors, strengh of binding and specificity of binding.
Clinical Management Software (CMS) and Electronic Medical Records (EMR) are key components of today’s life sciences and healthcare organizations. They are particularly relevant to Clinical Trial Management Systems (CTMS) used in the development of pharmaceuticals. The collection and management of patient information in CTMS is facilitated through Electronic Data Capture (EDC) systems, which can coordinate vast amounts of detailed statistics and reduce the costly expenditures of poor quality data and the delays associated with resolving inconsistencies. MDIT Innovations Inc.