The polycystic ovarian syndrome (PCOS), a multi-factorial heterogeneous syndrome with complex pathologies, affects up to 10% of women of reproductive age and accounts for 75% of anovulatory infertility. PCOS is associated with follicle growth arrest at the early antral stage, chronic anovulation, minimal granulosa cell proliferation, hyperthecosis with hyperandrogenemia, and insulin resistance.
Canada produces about 9 billion eggs per year; of these, about 27% are processed at egg breaking plants that yield low value eggshell (ES) and eggshell membrane (ESM) waste as a byproduct. The objective of this project is to develop processes to isolate high value products from ESM waste including HA, collagens, other proteins and anti-oxidants, using green chemistry. Our starting point will be raw ESM provided by our industrial partner, Burnbrae Farms (BBF).
Continuous blood pressure (BP) monitor is highly beneficial for detection and prevention of stroke and cardiovascular disease. The most common BP monitor technique still relies on using a cuff that obstructs the blood flow, which is both uncomfortable and makes continuous monitoring impossible. Furthermore, research has shown that due to the numerous artifacts, the existing cuff-less BP monitoring technologies such as pulse transit time (PTT) and tonometry are not sufficiently accurate.
Several classes of psychotropic compounds have been increasingly shown to possess antimicrobial properties with possible implication in microbiota-gut-brain axis. For instance, sertraline and paroxetine are efflux inhibitors in bacteria cell walls and are effective on gram-positive bacteria such as Enterococcus and Staphylococcus. Therefore, a comprehensive assessment of the antimicrobial effect of these chemicals on gut commensal bacteria and consumed probiotics will provide critical insight for the design of robust new nutraceuticals.
CHLNet identified the need for valid, reliable tools to determine the impact of these health leadership development programs. This project will develop a practical, easy to use toolkit to facilitate the measurement of program outcomes and impacts. The toolkit will be pilot tested and evaluated across the country according to defined selection criteria. The finalized toolkit will be electronic and other knowledge produced during the project will be broadly disseminated.
The proposed work main goal is to improve the overall human health quality through providing an online monitoring device acting as a data platform that represents a gateway to simple solutions that allow consumers and patients to better manage their health and disease risk. The broader mission includes leveraging the data platform to improve diagnostics
The technology is to be inserted in the human body under the skin layers without the need of any advance operational procedures.
Research into child safety applications using Artificial Intelligence (AI) methods is a new area of investigation. SafeToNet is continuing to develop AI monitoring tools together with a team of researchers at the University of Ottawa. These tools, when used over time, will take advantage of outgoing text-based communications from devices to detect the early onset and progression of developmental and mental health issues in youth.
The scientific challenge for this research project is to advance our understanding of the impacts of heat stress in heat vulnerable workers and to use this information towards the creation of intelligent heat stress monitoring and management solutions to safeguard health and wellness. Currently, our understanding of the effects of heat exposure on vulnerable individuals remains incomplete, limiting our ability to implement protective measures to optimize performance/safety during work in hot environments.
Promoting the use of renewable energy such as biogas produced from organic waste is one the main alternatives to achieve more sustainable development strategies. Anaerobic Digestion (AD) is an efficient and proven technology, which can be employed to convert Organic Waste to Biogas as Renewable Natural Gas (RNG), and to reduce global methane emissions. The main objective of this research is to determine and optimize the input recipe of mixed feedstock organic waste for an Anaerobic Digester (AD) to take advantage of economy of scale and to have synergetic effect on biogas production.
Financial indicators of an individual firm may be in the form of time series, vectors, or even richer data, such as text or images. The purpose of this work is to explore and develop methods for dealing with such data, and in particular perform the clustering/classification of such data into similar groups. In the project the intern will develop the tools that will allow to determine whether a client should be issued a loan or not.