Research and Development of Urinary Metabolome-based Personalized Health Assessment for Inflammatory Bowel Disease, Autism and Environmental Exposure - Year One

Despite the growing interests and publications in metabolomics, there is a significant gap between what have been found through scientific studies and what have actually been applied in clinical practice and preventative healthcare. This proposed project aims to fill this gap by addressing two major causes; 1) lack of utilization in existing metabolomics data and published findings, and 2) lack of an accessible tool to collect samples for metabolomics data at home. The first issue is addressed by text mining of published studies and online databases using machine learning techniques.

COVID-19 Grocery Response NDG

Grocery Response NDG is a grocery ordering and delivery program for seniors 70+ who are confined to their homes during the pandemic. The project is a joint initiative of Concordia University (Ageing + Communication + Technologies – ACT) and New Hope Seniors Centre. The Québec response to the COVID-19 pandemic requires seniors 70 and over to self-isolate Seniors with limited or no social networks and no access to the Internet are especially at risk.

Machine Learning for Increasing the Speed and Quality of Service in Online Medical Services

Telehealth/Telemedicine covers a variety of medical services offered through media such as telephone, email and the internet. As technology evolves, these online medical services can be further enhanced to improve the user experience. In this project, we aim to focus on a particular set-up where the patients interact with doctors over a chat service. The chat service employs a number of doctors with varying specialties, and at any time during a doctor’s work hour, he/she might interact with up to five patients concurrently.

Social Influence and performance in a simulated clinical scenario and evaluation of the validity of simulation for team training

The complexity of modern healthcare requires teams of professionals to work together to identify gaps in care. Failures of the healthcare team mean that patient safety and healthcare outcomes are compromised. This series of studies will explore how cognitive load and stress influence obedience to authority, team performance and ultimately patient safety. The outcomes will be used to better prepare healthcare teams to protect the patient against human factors that hinder teams addressing behaviours and decisions that hinder patient safety.

Exploring barriers and facilitators in achieving positive sexual health among trans-femme youth

The overall purpose of this study is to explore sexual health needs of trans-femme youth using a Community-Based Participatory Research (CBPR) appraoch. Trans-femme is a term used to indicate anyone who was assigned male at birth and now identifies with femininity. The lack of understanding about the sexual health needs of trans-femme and low levels of relevant sexual health education have put an increased risk of Sexually Transmitted Infections/Sexually Transmitted Disease (STI/STDs) and HUman Immunodeficiency Virus (HIV) infenction among trnas-femmes.

Obstacles and Opportunities in Improving Social Service Intake Referral Processes

When people seek help from a social service, the assistance they need may be best provided by another service in the community. In these cases, they should be referred to the appropriate service. At this stage, things sometimes go wrong: Sometimes the service agent misunderstands the person’s needs or misunderstands the kind of help provided by other local services. Or sometimes the agent doesn’t explain enough about why another service would be helpful.

Athletes Embodied: Developing and disseminating a sport-specific body image program

The goal of the project is to develop relationships between academic and non-academic partners to gain insight and knowledge that can be used to inform the Athletes Embodied program. This initial partnership is the first step in establishing an effective and feasible program to reduce body image concerns in girls’ sport, enhance sport experiences, and contribute to retaining female adolescents in sport. The Canadian Eating Disorder Strategy, informed by NEDIC, has identified sport as a significant area of concern among female body image and disordered eating.

Evaluating the impact of culturally-sensitized brokerage or coaching on refugee newcomers’ nutritional acculturation in a pilot program

Refugee newcomers tend to experience “food” culture shock and are at greater risk of food insecurity due to inadequate social programs. Hybrid social programs may help boost refugee newcomer confidence through knowledge exchange during intercultural culinary experiences. Therefore, this project aims to: First, promote effective cultural brokerage between community sponsor groups and refugee newcomers; Second, empower newcomers to participate in multicultural and intercultural activities during their nutritional transitions into a Canadian “foodscape” in a pilot program.

Wearable Continuous Health Monitoring Device Capable of Early Detection of COVID-19 in Patients and Tracking Their Health Condition

Continuous monitoring of respiratory rate, blood oxygen level and body temperature is vital for early detection of COVID-19 among patients and monitoring their health condition. Early detection of COVID-19 is crucial for successful treatment of this deadly disease. Unfortunately, most of the COVID-19 patients do not indicate any serious symptom such as breathing problem in early stage of this disease. And by the time they do, they have alarmingly low oxygen levels and moderate-to-severe pneumonia which in many cases does not have any treatment and leads to death.

Applied Machine Learning for Early Detection of Retinal Toxicity

Hydroxychloroquine (HCQ) is an anti-inflammatory drug that is widely prescribed for a range of auto-immune disorders such as lupus and rheumatoid arthritis. An unwanted side effect of long-term use of HCQ is vision loss by retinal toxicity. If detected early, it could lead to early intervention to prevent vision loss and improve the quality of life for patients.
The project involves research on current machine learning approaches for the development of a system that would aid in the early detection of retinal toxicity.