A study to determine if the Parkinson’s Remote Interactive Monitoring System (PRIMS) digital assessment tool is a cost-effective and useful alternative to traditional Parkinson’s Disease (PD) assessments.

Previous studies have demonstrated that virtual visits and telehealth are cost-effective and result in savings. PRIMS developed by PragmaClin Research Inc. of St. John's is an easy-to-use digital system which can accurately quantify motor symptoms of Parkinson’s Disease (PD). The technology collects and analyzes motor and non-motor data in real-time and automatically applies a disease severity rating. The system precisely follows a recognized international standard for determining a patient’s disease status.

Supporting Patients by Family Education in Psychotic Illness

Family caregivers are an essential component of care for young adults with severe mental illness including psychosis. While their involvement improves outcomes in multiple modalities, family caregivers are often overwhelmed with the care of their loved one. Currently, there are not enough resources for family caregivers of young people with severe mental illnesses. The study involves administering a nine-week course on caring for a person with mental illness to family caregivers. We will asses

Physical activity engagement & the intention-action gap in older adults

This research project aims to study the factors which can influence engagement in physical activity in older adults and how it is linked to health. Using data from multiple countries and collected over periods of up to 12 years the research project will look at the influence of socioeconomic and environmental factors on this relationship. The research project will also investigate the individual neuro-psychological factors that influence individuals’ engagement in physical activity with the aim of developing clinical interventions that can increase people’s level of physical activity.

Elevating the health and safety of vulnerable road users: Care, equity, and the built environment

The goal of this project is to enhance the safety of vulnerable road users (VRUs) by elevating our knowledge of equitable changes to the built environment (BE).

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 learning algorithms with existing screening tools to predict future falls in the 90-days post ED discharge for 150 older adults aged 65 years and older.

Targeting Radiation-Induced CXCL12/CXCR4 Signaling and the Immune Microenvironment to Improve the Radio-Curability of Human Cancer

Medical images were collected from cervical tumors from mice undergoing cancer treatment using radiation to kill cancer cells and shrink tumors. The purpose is to discover new biological molecules and observe the immune system reacts during radiation treatment. These images will be analyzed by MATLAB, which is a computer platform. MATLAB will perform a couple of operations on an image to extract useful information from the image, such as the location and number of biological molecules and immune cells that appear during radiation therapy.

Real-time food analysis using deep learning for Diabetes Self -Monitoring Phase 2

Our proposed research is to create an algorithm capable of pre-evaluating diabetes patients’ meals before they consume them with the snap of a picture. We are attempting to accomplish this goal by employing AI, machine learning as well as computer vision for real-time analysis. Our goal is to analyse a user's meal to return an accurate carb count and offer portion size adjustments to reduce their blood sugar fluctuations.

Economic Burden and Socio-Ecological Determinants of Asthma and COPD in British Columbia

Asthma and Chronic Obstructive Pulmonary Disease(COPD) are the two common lung conditions in British Columbia(BC). Given the dynamic character of these two diseases and modified treatment options in recent years, this proposed study aims to assess and update the economic burden of asthma and COPD in British Columbia and determine regional differences and the impact of social-economic aspects on the burden of asthma and COPD.

A continuous observational pool of individuals with asthma and COPD will be built utilizing BC health administrative data from 1997 to 2021.

Safe, Legal… and Inclusive? A Qualitative Study Exploring Trans Youth’s Experiences Accessing Abortion Care in British Columbia

Almost all abortion research focuses on cisgender women’s experiences. What little is known about trans people’s abortion experiences is the result of a handful of USA-based studies. At present, no Canadian trans abortion data exists despite unique delivery and access challenges within this context. This study is guided by two questions: 1) How do trans youth describe their experiences accessing abortion within the British Columbia healthcare system? 2) What factors impact whether abortion services are experienced as youth-friendly, gender-affirming and supportive?

Investigating the transmission of C. difficile in Hamilton-area hospitals and designing diagnostic assays for C. difficile

Clostridioides difficile (C. difficile) infection (CDI) is a common disease associated with hospital stays and is caused by a bacteria known as C. difficile. This project will examine transmission patterns of the bacteria and attempt to develop methods for detection of the pathogen in order to reduce incidence of the disease. This will ease the burden of patients on the hospital system, which I will be partnered with.

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