Medicine and Health Sciences Commons^™

Exploring Laurier Health Sciences Students’ Knowledge Of Lgbtq+ Health, Grace Emma Henry, Todd Coleman

Theses and Dissertations (Comprehensive)

In all health-related fields, the need for well-informed, holistic healthcare providers is paramount. For the heathcare field to be impactful in positive ways, providers should emerge from multifaceted academic backgrounds, equipped with an array of knowledge and skills to address the complex needs of different patients. Central to this is the idea that all aspects of an individual's identity and the intersectionality of these identities should be considered when providing care. Intersectionality recognizes that various social and personal identities, such as race, gender, sexuality, and socioeconomic status, intersect to shape individual experiences and health outcomes (Kelly et al., 2022).

Lesbian, …

Limiting H1n1 Replication Via The Dsrnai Pathway Using Sequence-Specific Ldsrna, Shawn Marie Sharon Carr, Stephanie Dewitte-Orr

Theses and Dissertations (Comprehensive)

The seasonal influenza virus causes a common respiratory illness that can be life threatening to the immunocompromised, the very young, and the elderly. The current strategies for avoiding a serious influenza virus infection are good hygiene practices and the annual influenza vaccine. Unfortunately, last year’s influenza virus vaccine effectiveness ranged between 32-60% for children and adolescents and 46-54% for adults. These low efficacy rates are due to the vaccine often targeting hemagglutinin, a highly variable surface protein. This thesis seeks to create a prophylactic treatment via the RNA interference (RNAi) response that targets the virus’s conserved genes that are integral …

Immune Pathway Modulation In Melanoma Using Chitosan Nanoparticle-Mediated Dsrna Delivery, Bethel C. Iwuji

Theses and Dissertations (Comprehensive)

Cancer is a group of diseases characterized by abnormal and uncontrolled cell division, which typically results in the formation of tumours. Even with advances in treatments, cancer remains one of the leading causes of death globally. Melanoma is an aggressive form of skin cancer which is highly malignant, develops in the pigment-producing cells of the skin, melanocytes, and in the late stages of the disease poses a significant challenge for therapeutic intervention due to its multidrug resistance. The innate immune system is the first line of defence against invading pathogens, including viruses, bacteria, and fungi, and can recognize and destroy …

More Than Meets The Eye: A Phenomenological Study Of Self-Concept, Identity, And Meaning-Making In Adults With Acquired Vision Loss, Melinda M. Szilva

Theses and Dissertations (Comprehensive)

The qualitative research project examines the lived experience of acquired vision loss in adulthood and its impact on the way participants see themselves and the world around them, both sensorially and metaphorically. The research question, “What are the lived experiences of adults with acquired vision loss as they relate to identity and conceptions of self?” is informed by the researcher’s clinical practice as a psychotherapist in a low vision clinic. The dissertation includes a literature review focussed on the psychosocial aspects of vision loss to provide insight into the intended population and context for the study. Data for the phenomenological …

A Word From The Writing Team (January 2025), Pam Walter, Mfa, Hemma Murali, Ms

A Word From the Writing Team (Newsletter)

This issue includes:

• New Year and a New Consultant at the OPWPC
• Publication Spotlight
• Attend First Friday Writing Retreats (Online)
• Workshop Series: Write that Baby in 9 Weeks
• Waived fees for open access publishing!
• The OPWPC Canvas Page offers helpful tools

Ambulatory Arterial Stiffness Index: Regression Method Comparison And Its Association With Pulse Pressure And Circadian Patterns, José R. Ayala-Hernández, Cristina López-Sánchez, Orlando M. Ayala, Camilo E. Palencia-Tejedor

Engineering Technology Faculty Publications

The Arterial Stiffness Index (AASI) is a calculation obtained through Ambulatory Blood Pressure Monitoring (ABPM), and is an indirect measure of the elastic properties of the arterial wall; but there is heterogeneity in its scope as a predictor of vascular wall health. A comparison is made between linear regression and exponential regression of the AASI, as well as an analysis of variance, according to circadian patterns and pulse pressure (PP) values. This work is an analytical observational study in 106 individuals, most of them women (63%) with a mean age of 53 ± 17.32 years. The coefficient of determination (r2) …

Macrowire For Intracranial Thrombectomy: An Early Experience Of A New Device And Technique For Anterior Circulation Large Vessel Occlusion Stroke, Kaustubh Limaye, Sami Al Kasab, Jaidevsinh Dolia, Mohamad Ezzeldin, Daniel Vela Duarte, Vinodh Doss, Sourabh Lahoti, David Hasan, Alejandro Spiotta, Ameer E. Hassan

School of Medicine Publications

Background and Purpose

Mechanical thrombectomy (MT) has become the standard of care for treatment of acute ischemic stroke secondary to large vessel occlusion up to 24 h from the last known normal time. With ADAPT and SOLUMBRA techniques, classically, a large bore aspiration catheter is delivered over a microcatheter and microwire crossing the clot to perform thrombectomy. Recently, a novel macrowire (Colossus 035 in.) has been introduced as a potential alternative to the use of microwire-microcatheter to allow the delivery of the aspiration catheter (ID = 0.070 in. up to 0.088 in.) over a macrowire alone.

Objective

To test the …

Infants’ Resting-State Functional Connectivity And Event-Related Potentials: A Multimodal Approach To Investigating The Neural Basis Of Infant Novelty Detection, Dana Kanel, Santiago Morales, Kathryn Altman, John E. Richards, Anderson M. Winkler, Daniel Samuel Pine, Nathan A. Fox, Courtney A. Filippi

School of Medicine Publications

Individual differences in how the brain responds to novelty are present from infancy. A common method of studying novelty processing is through event-related potentials (ERPs). While ERPs possess millisecond precision, spatial resolution remains poor, especially in infancy. This study aimed to balance spatial and temporal precision by combining ERP data with functional magnetic resonance imaging (fMRI) data. Twenty-nine infants (15 female) underwent resting-state fMRI (Mage = 4.73 months) and electroencephalography (EEG) during a three-stimulus auditory oddball task (Mage = 5.19 months). The mismatch response (MMR) and P3 were computed from ERP data, and resting-state functional connectivity …

Procedural Skills Gaps And Ultrasound Training In Saudi Medical Interns: A Cross-Sectional Survey, Rajkumar Rajendram, Abdullah Abdulrahman Alshamrani, Waleed Khalid Jarwan, Afnan Ali Alghamdi, Arif Hussain

Health Professions Education

Purpose: Medical internships lay the foundation for physicians' careers. While the scope of medical practice has broadened, the emphasis on procedural skills remains crucial. However, concerns persist regarding the adequacy of current internship training programs, particularly in the context of the increasing importance of ultrasound-guided procedures (UGPs). This study aims to assess the perceived relevance of procedural skills training and identify skill gaps among medical interns at our institution.

Aim: To assess medical interns' perceptions of the relevance of procedural skills training, with a specific focus on ultrasound guidance and to identify skill gaps within the internship program at our …

Breaking Down Silos: Creating And Implementing A Longitudinal Interprofessional Education Curriculum For Graduate Health Science Professional Students, Robert Wellmon, Jill D. Black, Wendy Wachter-Schutz, Kathleen M. Youse, Adrienne N. Pinckney, Lori L. Felker

Health Professions Education

Background. Accreditation standards for graduate health professional programs require the inclusion of interprofessional learning and collaboration (IPL/C) activities in entry-level curricula. This implementation necessitates collaboration among educators from multiple disciplines and openness to innovation and to educate students in a manner that breaks down uni-professional curriculum silos that are known barriers to the creation of meaningful IPL experiences.

Objective. The purpose of this paper is to describe one institution’s process for creating a longitudinal interprofessional education (IPE) curriculum that aligns with accreditation mandates and meets the call to foster IPC competency skills.

Methods. Widener University established an interprofessional thread of …

The Remote Supervision Road To Registrar Training In Australia - Paving The Path With Pixels And Phones (A Narrative Review)., Nicholas Coburn, Kylie Fitzgerald, Brett Vaughan

Health Professions Education

Purpose: Specialist medical training in rural or remote Australia is limited due to current requirements of specialist medical colleges to supervise and train registrars onsite. Remote supervision, where the registrar is supervised via telephone and videoconferencing technology remotely, offers a solution that allows doctors to train in rural or remote areas. This review describes the opportunities, challenges, and recommendations to pave the path for a best practice model of remote supervision for private practice focused registrar training in Australia which may offer insights for other countries with rural and remote medical workforces.

Methods: Ovid Medline and Ovid Embase were …

Understanding The Impact Of Admissions Variables On Admissions Diversity: A Single Doctor Of Physical Therapy Program Review, Michael Bourassa, Allison Bourassa, Saurabh Mehta

Health Professions Education

Purpose: The U.S. physical therapy workforce lacks diversity, largely influenced by healthcare program admission procedures that affect student diversity and, in turn, the profession itself. This study aimed to characterize applicants' demographic and educational profiles applying to a single accredited Doctor of Physical Therapy program and examine factors associated with admission outcomes when considering race.

Methods: This retrospective descriptive study analyzed data from 1,409 applicants to the U.S. Doctor of Physical Therapy program from 2017 to 2022. Data from pre-admission applications encompassed demographic details, overall grade point average (GPA), prerequisite GPA, graduate record examination (GRE) scores, average professional reference scores, …

Effect Of Problematic Smartphone Usage On Reaction Time And Critical Flicker Fusion Frequency Among Medical Undergraduate Students In Chennai, South India - A Cross-Sectional Study, Saisubramanian Abeetha, Angappan Suba, Mourali Chitra, Chirag D Jain, Saisubramanian Sadhana

Health Professions Education

Purpose: Smartphones are vital for communication and learning, especially among medical students, but excessive use can cause physical, psychological, and cognitive issues. Problematic Smartphone Usage (PSU), marked by compulsive use, is linked to attention deficits and reduced cognitive function. Reaction Time (RT) reflects sensory-motor speed, while Critical Flicker Fusion Frequency (CFFF) indicates sensory processing and neural fatigue. Prolonged smartphone use may impair these parameters. Despite growing concern, data on PSU’s impact on RT and CFFF in medical students is limited. This study explores their association among undergraduates in Chennai.

Methods: This cross-sectional study was conducted among 402 medical undergraduate students …

Multi-Ancestry Genome-Wide Meta-Analysis Of 56,241 Individuals Identifies Known And Novel Cross-Population And Ancestry-Specific Associations As Novel Risk Loci For Alzheimer's Disease, Farid Rajabli, Bruno A. Bonitez, Nigel J. Cairns, John C. Morriswashington University School Of Medicine In St. Louis, Carlos Cruchaga, Oscar Harari, Laura Ibanez, Et Al.

2020-Current year OA Pubs

No abstract provided.

Vagus Nerve Stimulation In Treatment-Resistant Depression: A One-Year, Randomized, Sham-Controlled Trial, Charles R Conway, Christopher L Kriedt, Et Al.

2020-Current year OA Pubs

BACKGROUND: Few treatments are available for individuals with marked treatment-resistant depression (TRD).

OBJECTIVE: Evaluate the safety and effectiveness of FDA-approved adjunctive vagus nerve stimulation (VNS) in patients with marked TRD.

METHODS: This 12-month, multicenter, double-blind, sham-controlled trial included 493 adults with marked treatment-resistant major depression who were randomized to active or no-stimulation sham VNS for 12 months. The primary outcome was percent time in response across months 3-12, with response defined as a ≥50 % change from baseline on the Montgomery-Åsberg Depression Rating Scale (MADRS). Several secondary endpoints were evaluated.

RESULTS: Overall, 88.4 % of participants completed the trial. Percent …

Exploring Factors Contributing To Patient Decision-Making In The Care Journey To Elective Hernia Care In Kenya, Helen W. Li, Jesse Kiprono Too, Sarah Nyanchama Nyariki, Charles Nathan Nessle, Sara Malone, Rachel Matsumoto, Teddy Ashibende Aurah, Jeffrey A. Blatnik, Joanna Hunter-Squires, Ivan Seno Saruni

2020-Current year OA Pubs

BACKGROUND: Capacity for elective general surgical care is an important reflection of a health system's ability to meet a population's surgical needs and is currently known to be inadequate in many low- and middle-income countries. Patient agency is a key, understudied factor which shapes how and when patients ultimately decide to engage with formal care. Understanding factors which influence patient care seeking activity can have important implications for how current and future health systems may be utilized. This study aims to explore how patients approach the navigation and triage of their elective hernia condition within the Kenyan surgical care system. …

Carpal Tunnel Syndrome And Occupational Co-Exposure To Biomechanical Factors And Neurotoxic Chemicals Using Job-Exposure Matrices And Self-Reported Exposure: Findings From The Constances Cohort, Julie Bodin, Clémence Rapicault, Alexis Descatha, Marc Fadel, Fabien Gilbert, Bradley Evanoff, Nathalie Bonvallot, Marcel Goldberg, Marie Zins, Yves Roquelaure

2020-Current year OA Pubs

OBJECTIVE: To study the association between occupational co-exposure to biomechanical risk factors, potentially neurotoxic chemicals and carpal tunnel syndrome (CTS) in a large cohort of French workers, using two methods to estimate chemical exposure: job-exposure matrices (JEM) and self-reported exposure.

METHODS: A randomly selected sample of adults were included between 2012 and 2018 in the French cohort CONSTANCES. Self-reported CTS was assessed using the first self-administered follow-up questionnaire, sent out approximately one year after baseline. Occupational exposure to biomechanical risk factors was assessed using self-administered questionnaire completed at inclusion. Lifetime occupational exposure to chemicals was assessed using two different methods: …

Ethical Implications Of Neurotechnology In Industry-Academia Partnerships: Insights From Patient And Research Participant Interviews, Meredith V. Parsons, Maya Skolnik, Judith Mwobobia, Erin D Solomon, James M. Dubois, Tristan Mcintosh

2020-Current year OA Pubs

BACKGROUND: Neurotechnologies often advance through industry-academia (IA) partnerships and offer insight into brain and nervous system functions, bringing improved diagnosis and treatment options to patients. Both neurotechnology and IA partnerships pose ethical challenges that can impact research participation experiences, patient treatment, and health outcomes.

METHODS: Investigators conducted interviews with 16 patients who used neurotechnology devices in therapeutic or research settings. Interviews explored participants' experiences using neurotechnology, perspectives on IA partnerships, preferences for neural data use and long-term care, and advice for future neurotechnology device users. Data were analyzed using inductive thematic analysis.

RESULTS: Participants were generally supportive of IA partnerships. …

Assessing The Clinical Meaningfulness Of Slowing Cdr-Sb Progression With Disease-Modifying Therapies For Alzheimer's Disease, Sarah M Hartz, Suzanne E Schindler, Marissa L Streitz, Krista L Moulder, Jessica Mozersky, Guoqiao Wang, Chengjie Xiong, John C Morris

2020-Current year OA Pubs

INTRODUCTION: For many patients and caregivers, a major goal of disease-modifying treatments (DMTs) for Alzheimer's disease (AD) dementia is to extend independence in instrumental and basic activities of daily living (IADLs and BADLs). The goal of this study was to estimate the effect of treatments on the time remaining independent in IADLs and BADLs.

METHODS: Participants at the Knight Alzheimer Disease Research Center (Knight ADRC) who met eligibility criteria for recent DMT trials were studied: age ≥60 years at baseline, clinical diagnosis of very mild or mild AD dementia (global Clinical Dementia Rating [CDR] score 0.5 or 1), biomarker confirmation …

Qualitative And Quantitative Analysis Of A Novel Dental Health Education Program To Improve Dental Care Utilization By Bhutanese-, Burmese-, And Swahili-Speaking Refugees In A Midwestern United States City, Chandra Swanson, Katherine Gordon, Kelly Kreisler, Elizabeth Montgomery Collins

2020-Current year OA Pubs

No abstract provided.

Usability Of The Mayo Test Drive Remote Self-Administered Web-Based Cognitive Screening Battery In Adults Aged 35-100 With And Without Cognitive Impairment, Jay S Patel, Jason Hassenstab, Et Al.

2020-Current year OA Pubs

BACKGROUND: Mayo Test Drive (MTD): Mayo Test Development through Rapid Iteration, Validation and Expansion, is a web-based remote cognitive assessment platform for self-administered neuropsychological measures with previously demonstrated validity and reliability. We examined the usability of MTD and hypothesized that completion rates would be greater than 90%. We explored whether completion and participation rates differed by cognitive status and demographic factors.

METHODS: A total of 1,950 Mayo Clinic Study of Aging and Mayo Alzheimer's Disease Research Center participants (97% White, 99% Non-Hispanic) were invited to participate in this ancillary, uncompensated remote study. Most invitees were cognitively unimpaired (CU;

RESULTS: Baseline …

Articles That May Change Your Practice: Reviewing Intraosseous Or Intravenous? Reviewing Intraosseous Versus Intravenous First Approach To Access In Out-Of-Hospital Cardiac Arrest Data From Randomized Controlled Trials, Blaise Loughman, Fatou Ndaw, Aaron J Lacy, James L Li

2020-Current year OA Pubs

No abstract provided.

Icu-Length Of Stay Prediction On Electronic Health Records Using Graph Neural Networks And Homogeneous Similarity Graphs, Ahmad F. Al Musawi, Pratip Rana, Sibtanu Raha, Joshua Braunstein, William C. Sleeman Iv, Rishabh Kapoor, Preetam Ghosh

Computer Science Faculty Publications

Predicting the length of stay (LoS) is important for hospital administration, as it helps allocate proper resources, such as bed management and hospital staffing. Patients' Electronic Health Records (EHRs) contain highly relevant data for LoS prediction; however, their integration and effective use in predictive modeling for accurately estimating LoS remain challenging. To address this, we propose a homogeneous Graph Neural Network (GNN)-based framework for predicting LoS. This method employs a comprehensive data fusion strategy based on the hospital Visit-based Similarity Graph (VSG), which integrates diverse multi-modal clinical features into a coherent, homogeneous graph representation. Next, this VSG is fed into …

Gramseq-Dta: A Grammar-Based Drug-Target Affinity Prediction Approach Fusing Gene Expression Information, Kasul Debnath, Pratip Rana, Preetam Ghosh

Computer Science Faculty Publications

Drug–target affinity (DTA) prediction is a critical aspect of drug discovery. The meaningful representation of drugs and targets is crucial for accurate prediction. Using 1D string-based representations for drugs and targets is a common approach that has demonstrated good results in drug–target affinity prediction. However, these approach lacks information on the relative position of the atoms and bonds. To address this limitation, graph-based representations have been used to some extent. However, solely considering the structural aspect of drugs and targets may be insufficient for accurate DTA prediction. Integrating the functional aspect of these drugs at the genetic level can enhance …

A Data-Driven Sliding-Window Pairwise Comparative Approach For The Estimation Of Transmission Fitness Of Sars-Cov-2 Variants And The Construction Of The Evolution Fitness Landscape, Md Jubair Pantho, Richard Annan, Landen Alexander Bauder, Sophia Huang, Letu Qingge, Hong Qin

Computer Science Faculty Publications

Estimating the transmission fitness of SARS-CoV-2 variants and understanding their evolutionary fitness trends are important for epidemiological forecasting. Existing methods are often constrained by their parametric natures and do not satisfactorily align with the observations during COVID-19. Here, we introduce a sliding-window data-driven pairwise comparison method, the differential population growth rate (DPGR) that uses viral strains as internal controls to mitigate sampling biases. DPGR is applicable in time windows in which the logarithmic ratio of two variant subpopulations is approximately linear. We apply DPGR to genomic surveillance data and focus on variants of concern (VOCs) in multiple countries and regions. …

Benchmarking Batch-Effect Correction Methods Towards The Construction Of A Triple-Negative Breast Cancer Cell Atlas, Peter Scheible, Amy H. Tang, Jing He, Jiangwen Sun

Computer Science Faculty Publications

Triple-negative breast cancer (TNBC) requires detailed cellular mapping given its aggressive nature, immense tumor heterogeneity and genetic diversity. We integrated 156,794 cells from six scRNA-seq datasets—including tumors, metastases, and cell lines—to build a TNBC scRNA cell atlas, focusing on batch effect mitigation while maintaining biological and molecular details. Preprocessing f ilters noise, normalizes data, and leverages PCA for integration readiness. We utilized scANVI, a semi-supervised tool, to align datasets, preserving TNBC’s complex tumor heterogeneity via marker annotations [1]. UMAPs demonstrate biological clustering in integrated data, contrasted with datasetdriven unintegrated patterns. Assessments verifying effective batch correction. This method aligns with NASA’s …

Multi-Modal Mri Based Segmentation Of Brain Metastases Using Adaptive Self-Attention, Evan Savaria

Computer Science Faculty Publications

Brain metastases (BMs) are the most common adult central nervous system malignancy, affecting 20–40% of cancer patients. Accurate segmentation of metastatic lesions in multi-modal MRI is essential for treatment planning and prognosis however, manual delineation is time consuming and prone to variability. Traditional deep learning models such as U-Net, have improved segmentation accuracy but capture limited long-range dependencies and struggle with variations in metastasis size, shape, and distribution. This study introduces the Adaptive Integrated Multi-modal Segmentation (AIMS) model, an adaptive self-attention framework within a hybrid U-Net and Transformer architecture to enhance BM segmentation by leveraging multi-modal MRI integration. The proposed …

A Survey On Deep Learning For Drug-Target Binding Prediction: Models, Benchmarks, Evaluation, And Case Studies, Kusal Debnath, Pratip Rana, Preetam Ghosh

Computer Science Faculty Publications

Conventional drug discovery is expensive, time-consuming, and prone to failure. Artificial intelligence has become a potent substitute over the last decade, providing strong answers to challenging biological issues in this field. Among these difficulties, drug-target binding (DTB) is a key component of drug discovery techniques. In this context, drug-target affinity and drug–target interaction are complementary and essential frameworks that work together to improve our comprehension of DTB dynamics. In this work, we thoroughly analyze the most recent deep learning models, popular benchmark datasets, and assessment metrics for DTB prediction. We look at the paradigm shift in the development of drug …

Coldstartcpi: Induced-Fit Theory-Guided Dti Predictive Model With Improved Generalization Performance, Qichang Zhao, Haochen Zhao, Linyuan Gao, Kai Zheng, Yajie Li, Qiao Ling, Jing Tang, Yaohang Li, Jianxin Wang

Computer Science Faculty Publications

Predicting compound-protein interactions (CPIs) plays a crucial role in drug discovery. Traditional methods, based on the key-lock theory and rigid docking, often fail with novel compounds and proteins due to their inability to account for molecular flexibility and the high sparsity of CPI data. Here, we introduce ColdstartCPI, a framework inspired by induced-fit theory, which leverages unsupervised pre-training features and a Transformer module to learn both compound and protein characteristics. ColdstartCPI treats proteins and compounds as flexible molecules during inference, aligning with biological insights. It outperforms state-of-the-art sequence-based models, particularly for unseen compounds and proteins, and shows strong generalization capability …

Design Of A Post-Market Registry For The Extravascular Implantable Cardioverter-Defibrillator: The Enlighten Study., Lucas V A Boersma, Anish Amin, Nicolas Clémenty, David Duncker, Gregory Engel, Laurence Epstein, Vikas Kuriachan, Camille Frazier-Mills, Marianne Gwechenberger, Nobuhiro Nishii, Jeff Lande, Christopher Wiggenhorn, Ian Crozier

Heart and Vascular Articles

BACKGROUND: The extravascular implantable cardioverter-defibrillator (EV-ICD) with substernal lead placement has been shown to terminate ventricular arrhythmias safely and effectively while being outside the vasculature. The performance of the EV-ICD system with a novel inappropriate shock-reducing algorithm in a real-world setting has yet to be investigated.

OBJECTIVE: The objective of the Enlighten Study: the EV-ICD Post-Approval Registry is to provide a comprehensive measure of the safety and performance of the EV-ICD system in real-world clinical practice over the lifetime of the device.

METHODS: The Enlighten Study is a global, prospective, observational, multicenter, post-approval study utilizing the manufacturer's Product Surveillance Registry. …