Animal Recognition From Natural Scene Images

With the development of imaging technology and research progress on wildlife monitoring, camera trapping becomes one of the best ways to record the presence and activity of mammals in a given area. The approach to monitoring wildlife can assist people in the community with decision making about preserving biodiversity. Camera trapping generates a huge volume […]

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AI in Ophthalmology triage automation

Access to specialist care, especially in rural and remote locations, is a growing challenge in Alberta. Patients with conditions such as age-related macular degeneration, diabetes, and macular edema must travel to large urban centres for assessment by retinal specialist ophthalmologists. Assessment typically requires OCT imaging, which is now broadly available through optometrist offices across the […]

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Fund Student Operations Project

The operational framework of the University of Alberta Innovation Fund has been structured with a specific mandate to actively engage students. Sara Moore is set to spearhead the project, focusing on comprehensive development in all aspects of student involvement, encompassing management and organizational structuring.

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Using AI and ML to advance frailty detection and management

The combination of aging alongside chronic conditions such as primary biliary cholangitis leads to accelerated muscle mass loss that impacts physical function. At advanced stages, this is termed frailty. Frailty is one of the strongest predictors of poor clinical outcomes including death. In this project we will use multidimensional digital health data and artificial intelligence […]

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Innovation Due Diligence Project

The initiative is dedicated to the refinement and enhancement of the University of Alberta Innovation Fund’s deal flow procedural framework, specifically concentrating on the systematic identification of emerging enterprises within the ecosystem. The primary objective is to streamline the transition of innovative concepts from theoretical inception to practical implementation – The fund facilitates this by […]

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Pre-delinquency models.

Times of economic stress (e.g., high inflation and interest rates) result in an increase in the frequency with which households fall behind with their loan payments. Loan delinquency in this project is when a borrower is behind with payments by more than 60 days. The project explores whether we can forecast loan delinquency early. An […]

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Developing a Mental Health Access Prioritization Algorithm as an API Service

Mental illness is considered one of the most serious conditions that one can develop. If left untreated, it could result in worsening the condition of the patient and increase the difficulty of treatment. From a patient’s perspective, most of the time even if they suffer with severe and debilitating symptoms, there’s still a prolonged wait […]

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LegacyX Large Language Model – Knowledge retention, sharing and mobility

In this project, we will develop a system to revolutionize how knowledge is captured, retained, shared, managed and utilized, particularly in software development and user support. Our aim is to capture essential knowledge that has accumulated by experts and is often overlooked, organizing it systematically for easy access and application by others. A key component […]

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L2M-Development of smart aeroponic systems for the promotion of wellness and sustainability

Sustainable agriculture has a significant and multifaceted role in promoting human health and well-being. There are many approaches to achieving wellness and an aeroponic growing solution is an excellent way to promote wellness by cultivating fresh, nutritious plants and thereby providing an indoor natural environment. In addition, the urban population in Canada is experiencing unprecedented […]

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A holistic Deco AI strategy for insurance risk categorization and predication

Insurance has been heavily affected from climate change in the past few years. Catastrophic events such as hail, floods, fires effect people’s lives. Technology like what Deco is building will help to speed up claims, settlements, repairs. If insurance companies can access accurate data instantly, it will help to make informed decisions about the claims […]

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A Data-Driven Framework for Forecasting Project Performance

In the dynamic field of construction project management, accurately forecasting project performance remains a significant challenge. Budget overruns and schedule delays are common issues, and despite the abundance of available data, existing forecasting practices struggle to effectively leverage this information. This study addresses gaps in the current literature by proposing a data-driven approach to enhance […]

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