The development of a nutrition and exercise toolkit for patients with primary biliary cholangitis (PBC)

Primary biliary cholangitis (PBC) is an autoimmune liver disease that is associated with multiple symptoms, including fatigue, pruritus, bone disease, emotional distress and impaired health related quality of life. There is evidence to support the important role of exercise and nutrition in improving symptoms and reducing disease-related complications in people with PBC. Working together with […]

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Developing an Inflammation Intensity Score based on AI analysis of blood biomarkers

With chronic inflammatory diseases such as arthritis affecting the spine, a major clinical problem is that disease can advance over years with unrecognized persisting inflammation. Recently, we discovered that elevated concentration of certain substances in blood considered together, are highly associated with persisting local inflammation. This study will use data gathered from the blood chemistry […]

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Examining the patient experience with electronic cognitive behavioural therapy

Electronic or internet-based cognitive behavioural therapy (eCBT has been implemented widely in healthcare settings, but has become even more prevalent since the start of the COVID-19 pandemic and the resulting decrease in availability of face-to-face treatment. The purpose of this study is to explore the personal experiences of patients and providers who have transitioned between […]

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Automatic AI based detection of cranial deformity in infants

Positional plagiocephaly is an increasingly common form of cranial deformity in infants, affecting approximately 40% of infants under the age of 1. While it is not associated with developmental defects or learning impairments, there can be long term aesthetic implications for deformity that is not appropriately addressed early in life. Early identification of plagiocephaly and […]

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Combating money laundering networks with the firefighting problem

The Firefighter Problem is a deterministic, discrete-time model of the spread of a fire on the nodes of a graph. If a graph is a network where bank accounts are nodes, then an edge between two accounts is a transaction between one bank account and another. Imagine we have a suspicious bank account with suspicious […]

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Evolving a system for effective communication with non-speaking patients in situations of medical emergency I hospital intensive care

Individuals with cerebral palsy generally use augmentative and alternative communication (AAC) devices to help them interact socially. The vocabularies provided in these systems are not specifically helpful in communicating during medical emergency or hospital intensive care. This project involves user-centered design and development of a software module for use in such situations, based on a […]

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Using AI to help first responders assess skin burns

The broad goal of this project is to create and implement a system which is able of assessing and classifying skin burns (and other types of skin lesions/wounds) using different state-of-the-art machine learning models and techniques such as EfficientNets, Reinforcement learning, saliency mappers, CAM, etc… The work that will be completed during this internship will […]

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Efficacy of Self Myofascial Release Techniques

Roller-massager is a convenient tool that uses upper body strength (rather than body weight) to move the roller across a muscle to imitate massage effects. Massage has been used to remove the knots and tensions sometimes found in muscle that can lead to pain and stiffness. It is not known if a roller massager can […]

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Building the Evaluation Capacity of the Alberta Mentoring Partnership – Part 2

The goal of the proposed research project is to assist the Alberta Mentoring Partnership (AMP) is building the capacity of Alberta mentoring organizations to evaluate their mentoring programs using a community-driven approach. In particular, this year, we hope to develop and implement more accessible supports that will build the capacity of those organizations who have […]

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PRESUNA – Phase 1 Market Potential and Adoption Strategy

Chronic diseases including congestive heart failure are a huge burden on the healthcare system and lead to a high degree of patient suffering. Ultrasound-guided therapies (UGT) hold a lot of promise to reduce chronic disease-associated hospital admissions and complications, however currently the use of UGT requires a systems-based support which may be too complex and […]

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