Optimizing Credibility Complements in Property and Casualty Insurance: A Data-Driven Approach for Enhanced Premium Estimation

Within the field of property and casualty insurance (P&C), one of the most pertinent dilemmas is the estimation of the insurance premiums required to accommodate potential losses. Due to the inherently random nature of losses, one of the tools utilized within P&C insurance is credibility theory, which utilizes a weighted average between past portfolio data […]

Read More
Exploring the effects of iTBS delivered by the cTMS vs traditional rTMS

Canada currently employs patterned non-invasive brain stimulation techniques in the treatment of conditions such as depression and anxiety. The goal of this study will aim to determine whether there is a more effective way to deliver brain stimulation compared to traditional methods. We will compare a new controlled TMS compared to the traditional TMS hardware. […]

Read More
Economic model of Ulipristal Acetate in the long term, intermittent treatment of uterine fibroids — a Canadian setting

Health economic evaluation provides a comparison on the incremental costs between two interventions and whether this extra cost is justifiable by the incremental clinical benefits. It has been increasingly used by payers to inform drug reimbursement decision as it can answer the question on whether a new health technology will provide value-for-money. Consequently, alongside clinical […]

Read More
Environment and Health

Significant scientific knowledge gaps remain with respect to nuclear power production and impacts on the environment and the community. Four specific research areas for interns have been identified to help resolve some of the issues or gaps in knowledge. The specific areas of research include: (A) determining appropriate thresholds for animal population-level effects, (B) assessing […]

Read More
Prevalence of uterine pathology in women

Our team hopes to learn more about how common problems are within the uterus of Canadian women and people who were assigned female at birth but no longer identify as women. The uterus can have many problems such as fibroids, adenomyosis, polyps, congenital anomalies, isthmoceles, and intrauterine adhesions. In general, ultrasound is the main tool […]

Read More
AI Experiences and Conceptions of Responsibility for Responsible AI Practice: Diverse Perspectives

This study explores the perspectives of Canadians, including equity-deserving groups on artificial intelligence (AI). Underrepresented groups, who are not consulted enough in policymaking due to inequality, are given a platform through this study to share their insights. The goal is to provide inclusive practices in the development, regulation and use of AI. Participants from diverse […]

Read More
Characterization of the interface between biomaterials and proteins/cells in the presence of nanotopography

While most of the literature focuses directly on cellular response to biomaterials, cell attachment and behaviour is mediated by the proteins attached to the material. The composition and characteristics of such proteins is dependent on the substrates’ properties, both chemical, physical and mechanical. However, how surface characteristics control protein-material interactions still requires further investigation. The […]

Read More
Modeling the Evolution of Embedded Star Clusters

Groups of stars (star clusters) that we see throughout the Universe form inside giant clouds of molecular gas inside galaxies. After a few million years, clusters can disperse surrounding gas through a combination of stellar winds, radiation, and supernovae, making them easier to observe (stellar feedback). While clusters are embedded inside molecular clouds, it is […]

Read More
Evaluating Algorithmic Prediction of Emotion in Music

Algorithms play an increasingly important role in our interactions with digital services. Companies like Spotify and Pandora use algorithms to identify mood-relevant music from massive databases of over 100 million tracks and deliver them to users through personalized playlists. To achieve this, they rely on software tools to analyze relevant musical properties—like timing (slow–fast), intensity […]

Read More
L2M – AI-MD Validation Proposal

AI-MD is an AI-driven symptom checker that allows people to monitor their health and scan their body for suspected illness and disease. Millions of people are using symptom checkers online every month that only allow them to describe thier symptom information using text or checking off boxes. Not only are these tools not accurate, but […]

Read More