An ethnographic approach towards understanding the impact of canine-assisted support on hospital staff’s mental health

The goal of this study is to observe how a national service dog’s presence in a hospital setting impacts the mental health of various healthcare workers. The research trainee will observe the interactions between the dog and the staff and log detailed information regarding the interaction. When appropriate, the research trainee will conduct brief interviews […]

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Using digital phenotyping measures to predict the symptoms and functional outcomes in first episode of psychosis

Psychotic disorders including schizophrenia are severe mental disorders affecting 2-3% of the population and rank among the leading causes of disability worldwide. Although early intervention is effective in improving illness outcome, a significant proportion of first-episode psychosis (FEP) patients experience persistent functional impairment even after clinical remission. Accurate prediction of FEP patient trajectories will allow […]

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The influence of social adversity on cardiovascular aging

Cardiovascular disease (CV) is a leading global cause of death, primarily linked to aging, but influenced by various factors like inactivity, poor diet, and limited healthcare access. Social adversities, such as social isolation and challenging childhoods, also significantly impact CV health, weakening the immune system and altering genes. Understanding how social challenges affect CV health […]

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A Comprehensive Investigation of Combiotics in combination with Conventional Antibiotics in a Mouse lung Infection Model with Pseudomonas aeruginosa

This research addresses a persistent threat to individuals with cystic fibrosis—Pseudomonas aeruginosa bacteria, known for biofilm formation and antibiotic resistance. Unlike prior studies on natural products, this initiative explores the combined impact of conventional antibiotics and MHCombiotics Inc.’s unique blend of metalloid and plant-based compounds. Demonstrated effective against P. aeruginosa, this study compares their efficacy […]

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Exploring Medication and Healthcare Trends in First Nations: A Data Integration Approach

The First Nations Health Atlas aims to comprehensively analyze diverse administrative datasets from Alberta Health and Alberta Health Services to produce holistic analytics for First Nations health in the province. The initiative’s core objectives include establishing a comprehensive roster of First Nations individuals from Bigstone, Siksika, and Maskwacis nations, analyzing disease incidence and prevalence, scrutinizing […]

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SVP Strategic Finance

We are an acquisition business that has business, medical, and operations data in over 20+ systems. Internally we have a project ongoing to bring everything into a data lake. This BSI project is to take that data and build dashboards and insights to help us operate our company better and improve the patient experience at […]

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Investigation of Autonomic Responses Derived from Polysomnography in Obstructive Sleep Apnea Patients Using Signal Processing Techniques

Obstructive Sleep Apnea (OSA) is an important respiratory disease characterized by recurrent blockages of the throat (‘upper airway’) during sleep. These blockages result in short lapses in breathing. The low oxygen levels and disruption of sleep caused by OSA contribute to many problems including sleepiness, poor quality of life, awakenings during sleep, hypertension, heart disease, […]

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Alberta Parent Survey: Perspectives on Early Learning and Care

The Edmonton Council for Early Learning and Care, the Muttart Foundation, the Community- University Partnership for the Study of Children, Youth and Families, and the United Way Capital Region partnered to survey Alberta parents/guardians about their early learning and child care arrangements from May to July 2022. Data were collected from 1,479 parents. A series […]

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Studying Cancer and SARS-CoV-2 Co-Infection with Molecular Imaging

Positron emission tomography (PET) is a common cancer imaging technique where FDG, a radioactive substance, is used to identify cancer in the body. FDG is preferentially taken up by cancer cells and creates distinct signals that are detected by the PET scanner. A limitation of FDG-PET is that FDG is not specific to cancer. Other […]

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Study of extracellular vesicles in cardiometabolic disease

This project will focus on transforming scientific research excellence into improved healthspan via the development of improved diagnostics to allow personalized therapeutic strategies, with novel treatment and rejuvenation approaches targeting cardiometabolic disease. Exciting preliminary data has been generated by the York University research team. The Konkuk University research team have the established expertise to capitalize […]

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Neural Pathways to Health: Deep Learning Applications in Medical Science

Machine Learning algorithms proved to be very helpful in medical science in the presence of enormous amounts of data. Particularly, it analyzes medical data, such as images, genetic information, and patient records, aiding healthcare professionals in faster and more accurate diagnoses. Deep learning has gained significance in automated report generation, expediting the diagnostic process and […]

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