Pork is the most consumed animal protein in the world and demand continues to increase. Significant increases in food availability worldwide have been achieved, however, there is still a major challenge to feed the growing global population. Genomic selection has been widely used in livestock animals and successfully improved genetic progress of production and reproduction […]

Enacting Environmental and Social Governance (ESG) policies is of growing interest and concern in many industries, and social and affordable housing is no exception. Currently, the social and affordable housing sector in Canada (otherwise known as the seniors and community housing sector) is undergoing a period of great change. With all levels of government taking […]

Pressurized metered-dose inhalers (pMDIs) are widely used to deliver drugs to the lungs for treatment of respiratory diseases. However, targeting delivery of inhaled drugs to the lungs is not straightforward. The airways of the mouth and throat present a barrier through which inhaled particles must penetrate in order to reach their target sites in the […]

To enable economic recovery and growth by assisting Alberta small and medium-sized businesses to participate in e-commerce that is designed to meet their needs. ACC has developed a new tool to connect and support employers across a variety of sectors with an innovative e-commerce platform that not only supports SMEs in getting their products or […]

Rapid advancements in biotechnologies made possible novel studies to tackle chronic diseases such as breast cancer, or provide new insights into the role played by gut bacteria in a variety of chronic conditions. Data generated by biotechnologies comes with many analytical challenges: high number of candidate biomarkers measured compared to the number of patients, correlations […]

The development of a clinical decision support system is at the nexus of using data analytic techniques to inform and support dentists in the clinical practice. The purpose of this project is to develop conduct an innovation study to validate the analytic algorithms developed by OraQ for the purposes of facilitating clinical diagnosis. OraQ has […]

Metabolomics is a rapidly growing field involved in detecting and characterizing all the metabolites present in a biological system such as blood, urine, cells and tissues. Metabolomics has been increasingly used in many different areas of applications, including the discovery of metabolite biomarkers for early diagnosis or prognosis of diseases, holistic study of biological systems […]

The Experiential Learning in Innovation, Technology, and Entrepreneurship (ELITE) Program for Black Youth is a unique program designed to create opportunities for Black Youth to access hands-on learning and work-integrated training in STEM fields, business, and entrepreneurship. The ELITE Program focuses on Black youth between the ages of 15 and 22, who are attending high […]

The objectives of this study are: • To assess the feasibility of using satellite remote sensing technology to measure trace gases and aerosols over northern Alberta. • To study the transport of biomass burning emissions and its impact on air quality over northern Alberta. Methodology: Data from several satellite sensors will be used in this […]

Tricca Technologies is a spinoff company of the University of Alberta that is making a small cooler system for shipping small numbers of chemicals or biological samples. Currently, biological samples are often shipped using dry ice to ensure they remain cold during transit, this greatly increases shipping costs meaning it is usually only economically viable […]

The card collection was evaluated at more than $20B in 2021 with an unprecedented growth in the last 36 months. A card value can range from $0.05 up to $6.6M. The old-school hobby market has shifted to an investment vehicle in recent years. To list a card online for sale, there are many steps involved: […]

Computer Vision techniques and algorithms, especially those involving deep neural networks, are now predominant in robotics and autonomous driving. These algorithms have found immense success in urban scenes for autonomous driving, and visualize 3D maps of cities. However, like most deep learning solutions, they do not generalize well over a large varieties of inputs. Thus, […]