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 […]

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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 […]

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Universal Graph Embeddings for Transaction data

Here at Mastercard, we have a transaction data where an account (card holder) transacts at a merchant, this data can be viewed as a Bipartite Graph of account and merchant nodes, where each edge represent a transaction between them. We have multiple models/tasks that provide predictive intelligence at an account level, e.g., predicting an account […]

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Complex Network Data Analysis for Systemic Risk Management and Loss Prevention

Financial fraud is a very serious problem plaguing financial institutions. Recent advances in information technology have only exacerbated this problem. Poor risk models were at the core of the 2008 financial crisis. Complex networks, structured graphs, are powerful models for representing higher-order interactions or dependencies within data sets. Graphs are relational models of covariates, where […]

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Deciphering the immunosuppressive functions of viral glycoproteins

Embedded in the surface of a virus, are different types of proteins that the virus uses to enter a host cell. These so-called viral glycoproteins are pivotal targets of the host antibody response to fight a viral infection. In recent decades, it has become clear that certain viral glycoproteins have evolved clever ways to suppress […]

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Analyzing the MRI Data from Premature Infants

Brain segmentation is crucial for providing accurate predictions to the patients due to the information which can be extracted from it, such as the shape and size of the tissue, underdeveloped or injured regions, and annual comparative results for brain growth. Segmentation of infants’ brains currently requires deep expertise and is a labor-intensive process, typically […]

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Clinicial Archive for Data Science

Till this time the data of patients in clinics are not saved in a way comfortable for further research especially if it is some specific disease, which has not been studied enough yet, it is hard for a doctor to collect all the data correctly to see the whole picture of the patient’s health. The […]

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Exploring the digital divide: The use of digital tools in Ontario public schools

Governments around the world are investing to bridge the “digital divide,” which refers to the gap among populations in terms of ability to access digital tools and the Internet. This effort is especially evident in public schools, because education has been identified as one contributing factor of the divide. Thus, it is of great public […]

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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. The proposed project codeveloped with […]

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