Brain natriuretic peptide (BNP) is an established prognostic marker for the early detection of heart failure. Elevated blood BNP levels are directly correlated to the severity of HF and decompensation. Current FDA approved immunoassays for BNP detection can only be carried out in medical laboratories or emergency rooms. Outpatient-use BNP monitors are yet to be developed. The objective of this project is to develop a prototype of the portable diagnostic device that can give a rapid electrical readout of BNP levels in a drop of blood.
Using surface characterization techniques, the relationship between the surface hydrophilicity level of the positive electrode and the electrochemical performance of a rechargeable aqueous battery system will be investigated. Oxygen is generated during the battery operation due to the decomposing of water, the solvent for the electrolyte, and may cover the surface of the positive electrode, thus hinder the battery operation.
The project involves the identification of a Canadian community to be compared with Barcelona (Spain), Bristol (UK) and other two international communities, all experienced cities on sustainability with more than 100 partners including businesses, NGOs, academia and the public sector. The Canadian community must comply with certain criteria to make findings comparable with the international communities.
Acute myeloid leukemia (AML) is a blood cancer with very poor prognosis, especially for patients older than 60 years of age. This is in part because of the severe toxicity of medicines available. Less harmful medicines are needed to better treat older patients. Therapure Biopharma Inc. has chemically linked the standard toxic chemotherapy medicine called cytarabine to the blood protein hemoglobin to make a potentially safer and more effective medicine to treat AML. In collaboration with the University Of Waterloo School Of Pharmacy, Therapure Biopharma Inc.
Over the last few years, the data revolution occurred with the emergence of Big data. In medical field, the term big data refers to large databases in terms of patients and/or information from varied sources. Nevertheless, heterogeneity is encountered in this kind of data. Indeed, data arise from different medical centers. Furthermore, we cant perform traditional statistical methods on these large databases: major problem are multicollinearity and overfitting. Lots of regularization methods have been proposed in order to adapt classical methods. Mittal et al.
Stress is a top workforce risk and according to a Towers-Watson 2013 survey, half of all employers identify improving the emotional and mental health of employees as their top priority for building health and productivity programs. The objective of this research is to improve StressWelliQs systems and product portfolio by creating gamified technology solutions and thereby improving the lives of Canadians. The creation and evaluation of this technology will allow StressWelliQ to create a more effective augmented stress management platform.
Eye diseases, such as dry eye syndrome, affect about 15% of the population. Eye drop formulations are the most common way to treat eye diseases, but patients struggle with the multiple daily applications required and the resulting side effects. Our goal is to develop an eye drop formulation that requires less frequent application using nanoparticle drug carriers. Drugs are quickly cleared from the eye due to blinking and tear turnover, but these nanoparticles can attach to the corneal surface to prevent rapid clearance.
"A large majority of microbes cannot be cultured. Recently, microbiome sequencing has begun to identify the genetic potential of these lineages, often referred to as microbial dark matter. By integrating my taxonomic profiling methods with function profiling developed by the academic supervisor, I aim to develop and apply a comprehensive pipeline for microbial dark matter characterization, placing unclassified taxa into both a taxonomic and functional context.
During physiotherapy a continuous assessment and progress tracking of a patients performance is of clinical interest. In this project, based on the promising results from the initial prototype, we will redesign the wearable sensors to improve tracking accuracy, communication speed and robustness, incorporate onboard data storage and computation, and minimize cost and size. Furthermore, we will develop automated algorithms for the analysis of the measured data to help physiotherapists identify the causes of changes to the patients' movement profile.
In this research we are aiming to build smart wearable and standalone units which can be used in our everyday lives for things such as: i) tracking vitals, and storing information; ii) monitoring sporting activities; iii) collecting ambient (in house and in air) statistics for smart home monitoring systems; iv) location tracking; v) emergency response .... .These wearables and stand alone devices have the advantage of not being connected to battery and can harvest its required energy from motion and sun light.