Due to COVID-19, adoption of and investment in technological solutions for remote mental health services (teletherapy) is rapidly increasing. While the evidence-base for teletherapy for individuals is robust, teletherapy research with families has been limited. Further, uptake of teletherapy by clinical training programs has been slow and knowledge about the feasibility of using these interfaces […]

Pelvic Organ Prolapse (POP) is a condition 1 in every 10 women is diagnosed with. The current non-surgical treatment for POP is an intravaginal device called pessary which has a 40% failure rate as its shape is not fitted to the female anatomy. Poor pessary design and performance arises from the limited data that is […]

In Canada healthcare is being modernized and transformed through a range of new healthcare information technologies and systems. Applications of information systems such as electronic health records (EHRs), electronic medical decision support and an increasing range of mobile health applications promise to transform and improve healthcare and increase patient safety. However, although such technology has […]

The Machine Learning team at Aifred Health is aiming to improve the performance of their core decision support models and the intern will assist in the development of a system that will intelligently iterate across dozens of unique model configurations to find the best performing one by leveraging previous configurations and their performance outcomes. The […]

The project will develop a conceptual framework to quantify the value of nature based recreation. The tool will focus on improvements in physical health, improvements in mental health and health benefits associated with improved ecosystem protection. The tool will provide provincial, municipal and community organizations a mechanism to support informed program, policy and planning decisions […]

In this project, we plan to study and improve the existing Best Tests section of the Clinician Portal from Alpha Laboratories. Best Tests provides metrics to clinicians that allow them to compare the effectiveness and cost of their test ordering patterns. However, the problem is that many of these comparison metrics are not easy to […]

Market analysis, Business plan development, Valuation, and production of presentation deck for funding round for a pharma start-up looking to innovate chronic pain treatment.

This project seeks to build the body of academic understanding on how to effectively deliver a mental health skills-based intervention through a mobile app. The analysis will be done through retrospective and live analysis of the Resili app, a publicly available mHealth app which promotes strong mental health through the administration of a Dialectical Behaviour […]

Spinal cord pathology causes significant burden to the individual and society-at-large. Treatment is complex and made more difficult by difficulties in clinical imaging of the cord microstructure. Using recent advances in image acquisition techniques and image processing toolsets, this project will investigate a semi-automated pipeline to visualize boundaries of spinal cord pathology for the purpose […]

Agartee Technology had been providing a real-time monitoring solution using wearables and other smart devices for seniors with respiratory ailments (COPD & Asthma). These are the population most at risk from serious or deadly outcomes for COVID- 19. Both based on the companies initiative and at the request of various stakeholders (Govt. entities, clinicians, partners […]

We would like to hire one MBA student for their business knowledge and skills to support market analysis, intellectual property research, competitive and regulatory landscape analysis, as well as funding opportunities for early stage drug and technology development within Research St Joseph’s Hamilton (RSJH). The MBA student will work on diverse projects and get familiar […]

Automatic detection and classification of the Auditory Brainstem Responses (ABR) is used in newborn hearing screening. Improved detection algorithms will reduce test time, prevent infants with hearing loss from being missed while reducing the number of normal hearing babies referred to diagnostic testing. We have already improved the objectivity of ABR classification in neurological assessments […]