Bioactive nanoparticles-based domiciliary oral gel with antimicrobial, immunomodulatory and antioxidant activity for periodontal therapy

Periodontal diseases are among the most common diseases in the population. According to the Canadian Dental Association, around 7 in 10 Canadians suffer from some form of gum disease at some point in their lives. They are characterized by inflammation and destruction of tooth supporting structures. Their progression is determined by the interaction between microbes and the host immune response. Recently, locally administered therapies have been proposed as a support to the gold standard treatment scaling and root planning, but no consensus on their effectiveness is present.

Bioenergetics and population dynamics of polar bears past, present, and future: Understanding the effects of climate change - Year Two

In the Arctic, climate change is leading to declines in seasonal sea-ice cover. Polar bears are increasingly at-risk from sea-ice loss because they use the ice as a platform to hunt seals, their preferred food source. When the ice retreats seasonally, bears rely on their stored energy reserves as fuel, but climate-driven changes in sea-ice melt and refreezing have forced bears to go for longer periods without access to seals. With temperatures expected to increase, it is important to know how polar bear populations will respond to never-before-seen declines in sea ice.

Deep Learning Based Approaches to Synthetic Data Generation

Synthetic population generation is the process of combining multiple socioeonomic and demographic datasets from various sources and at different granularity, and downscaling them to an individual level. Although it is a fundamental step for many data science tasks, an efficient and standard framework is absent. In this project, we propose a multi-stage framework called SynC (Synthetic Population via Gaussian Copula) that is novel and scalable to address this research problem.

Predicting falls based on a 2-minute walk test

Falls are the leading cause of injuries in older adults. Identifying older adults with risk for falls prior to discharge home from the Emergency Department (ED) could help direct fall prevention interventions, yet ED-based tools to assist risk stratification are under-developed. The aim of this study was to compare the performance of our proposed machine learning algorithms with existing screening tools to predict future falls in the 90-days post ED discharge for 150 older adults aged 65 years and older.

The Canadian Donor Milk Trial (CanDo): Pasteurized human donor milk supplementation in the well baby unit

The proposed trial will evaluate the benefit of using donor human milk versus formula as a supplement to parent milk, when the latter is unavailable, in the well-baby nursery. Although the goal for infant feeding is exclusive parent milk from birth, up to 50% of all infants in well-baby units receive a supplement for a variety of reasons including parent illness, infant low blood sugar or excessive weight loss, and in the instance of two-father families among other reasons.

Validating an automated speech assessment pipeline for use with individuals with amyotrophic lateral sclerosis (ALS) - Year Two

Amyotrophic lateral sclerosis (ALS) is a devastating disease that affects many parts of patients’ lives, such as the abilities to think, move, and speak. Speech problems in ALS can have a substantial effect on patients’ quality of life. They are also related to faster disease progression and shorter survival time. It may be possible to detect the onset of ALS head and neck muscle problems early using speech recordings, which could improve planning of care for ALS patients. Speech recordings may also be useful measures for ALS clinical trials.

Informal entrepreneurship education with youth: possibilities of an online platform

Entrepreneurship often refers to the founding of new businesses. However, new perspectives see the benefit of entrepreneurship for other areas of individual and social well-being. Such a change in perspective allows us to see the benefit of teaching about entrepreneurship at younger ages. This project aims to investigate possibilities of an online platform for providing entrepreneurship education in informal educational settings (at home/with parents, and in schools/communities).

Developing chemical probes for inhibition and targeted degradation of the deubiquitinase USP9X in breast cancer

Cells have developed an intricate system called ubiquitination to control the quantity of certain proteins. As this is frequently hijacked in various cancers, the Structural Genomics Consortium (SGC) intends to inhibit components of ubiquitination with small molecules for therapeutic benefit. Partnership of the SGC with the cell biology expertise of Barsyte-Lovejoy group will allow for cellular investigation of new and specific compounds that can manipulate the ubiquitination machinery as an anticancer therapy.

Understanding and leveraging the role of networks and network actors in the implementation of practice change innovations in Ontario's long term care homes

Issues involving the introduction, learning and embracing of new knowledge, innovation or practice change in healthcare are critical as the innovation impacts the quality of service and care of patients. Long-term care (LTC) is a sector that has historically faced its own unique challenges in moving research knowledge into practice.

Generalization of NLP Algorithms to New Data Sources and Stability Improvements

The field of responsible investing is rapidly expanding, with even greater attention on the importance of responsible investment with each passing year, as seen most recently in the aftermath of the impactful 2021 COP26 summit, where responsible investment was key focal point. Directing our financial resources in a sustainable direction has the potential to have a massive impact on helping us meet the Sustainable Development Goals set forth by the UN.