Medicine and Health Sciences Commons^™

Assessment Of The Best Practices Of Pose Estimation And Machine Learning Use For Clinical Gait Analysis, Micah B. Stull

Summer Research Program Abstracts

No abstract provided.

Bridging The Gap: Assessing Barriers To Patch Testing Across Diverse Skin Tones, Ritesh V. Soule

Summer Research Program Abstracts

No abstract provided.

A Novel Acoustic Emission Technology For Assessing Osseointegration In Bone-Anchored Implants, Ethan Snyder

Summer Research Program Abstracts

No abstract provided.

Mixed-Reality Visualization In Revision Reverse Shoulder Arthroplasty: A Retrospective Comparative Study, William C. Smoot

Summer Research Program Abstracts

No abstract provided.

Routine But Rarely Needed: Blood Type And Antibody Screen Testing In Pediatric Surgical Patients, Avery N. Sinnathamby

Summer Research Program Abstracts

No abstract provided.

Investigating Patient Reported Outcomes (Pros) Of Long Covid, Luke A. Sims

Summer Research Program Abstracts

No abstract provided.

Non-Medical Determinants Of Health In Thoracic Aortic Disease: A Montalcino Aortic Consortium Study, Alberta S. Simmons

Summer Research Program Abstracts

No abstract provided.

Centering Community Voices: Protocol For Qualitative Inquiry In A Produce Prescription And Chatbot Intervention, Yesmeena Mahmoud Shmaitelly

Summer Research Program Abstracts

No abstract provided.

Understanding Patient Reported Outcome Measures And Perceptions In Trauma, Jerome D. Scott

Summer Research Program Abstracts

No abstract provided.

Associations Between Trpm4 Gene Variants And Intracranial Pressure Dynamics Following Traumatic Brain Injury, Emily H. Saweris

Summer Research Program Abstracts

No abstract provided.

Assessing The Potential Risk Factors For Major Surgical Complications In Operative Fixation Of Patients With Pelvic Ring Disruptions, Benjamin Roberts

Summer Research Program Abstracts

No abstract provided.

Concurrent Gastroschisis And Biliary Atresia: Surgical And Supportive Management, Joseph M. Pydyn

Summer Research Program Abstracts

No abstract provided.

Assessing The Effects Of Tunicamycin In Trophoblast Stem Cell Differentiation, Kay Chi Pua

Summer Research Program Abstracts

No abstract provided.

Ambulatory Blood Pressure Variability In Prediction Of Target Organ Injury: The Ship Ahoy Study, Coral D Hanevold, Jang Dong Seo, Stephen R Daniels, Bonita E Falkner, Michael A Ferguson, Joseph T Flynn, Julie R Ingelfinger, Philip R Khoury, Marc B Lande, Kevin E Meyers, Mark Mitsnefes, Joshua Samuels, Elaine M Urbina

Faculty, Staff and Student Publications

Background: Ambulatory hypertension is associated with elevated left ventricular mass index (LVMI), cardiac dysfunction, and increased arterial stiffness in adolescents. Whether the addition of measures of BP variability improves the prediction of subclinical cardiovascular target organ damage (TOD) over mean BP measures is not known.

Methods: We assessed clinic and ambulatory BP (ABP), anthropometrics, and TOD in 397 adolescents. ABP means standard deviation (SD), BP, and heart rate (HR) dipping were calculated; coefficients of variability (CV) were calculated (SD/mean) to assess ABP variabilities. Measures of TOD included LVMI, left ventricular hypertrophy (LVH), LV systolic shortening, LV diastolic function (e'/a'), and …

Smart Medical System Integrating Clinical Workflows For Robust Skin Cancer Detection Across Heterogeneous Pathologies, Ahed Abugabah, Prashant Kumar Shukla, Suchi Mishra, Abhishek Dwivedi

All Works

Skin cancer is among the most prevalent and life-threatening dermatological diseases worldwide, with melanoma responsible for a substantial proportion of skin cancer–related deaths due to delayed and unreliable diagnosis. Conventional clinical screening based on visual inspection and expert interpretation is inherently subjective and often affected by inter-observer variability, lesion heterogeneity, and imaging artifacts, highlighting the need for accurate and generalizable automated diagnostic systems. This study proposes a novel hybrid deep learning architecture for skin cancer classification that integrates an attention-guided autoencoder with a transformer-inspired global context modeling module, forming a unified and robust representation learning framework. The encoder–decoder structure is …

Co-Design And Feasibility Testing Of A Midwife-Led Birth Debrief: An Implementation Science Project, Kate Buchanan, Phoebe Backhouse, Leanne Graham, Amy O’Meagher, Sara Bayes

Research outputs 2022 to 2026

Background: The period spanning pregnancy, birth and postpartum is characterised by psychosocial as well as physiological changes: many women experience new or worsening mental ill-health during the perinatal period. Midwives play a critical role in supporting and promoting psychosocial health by providing mental health education, counselling and screening. Often this includes a post-birth conversation, guided reflection, or debrief. Information about the effectiveness and experiences of specific and structured midwife-led birth debrief is scant. Aim: Our study aimed to assess the perceived effectiveness, experiences and implementability of a midwife-led birth debriefing intervention in one Australian maternity unit. Methods: A Type II …

Primary Breast Sarcoma In Pediatric, Adolescent, And Young Adult Patients: A Single-Institution Retrospective Review, Amelie D. Perrier

Summer Research Program Abstracts

No abstract provided.

Evaluating The Pulse Of Exercise Programs: Developing And Validating The Intervention Usability Scale For Exercise (Iuse) To Enhance Implementation And Adherence, Anne Inger Mørtvedt, Eva Ageberg, Steven Elmer, Kevin Trewartha, Erich Petushek

Michigan Tech Publications

Background: Adherence to exercise interventions is often suboptimal, despite numerous studies documenting barriers and facilitators. Usability may be a critical yet underexplored determinant of adherence. This study aimed to develop and assess the psychometric properties of the Intervention Usability Scale for Exercise (IUSE). Methods: Item generation and content validation involved cognitive interviews and feedback from eight exercise intervention stakeholders and ten target users from the general public. Subsequently, 526 target users from University, Qualtrics and Prolific participant panels assessed exercise programs through an online survey. Dimensionality was assessed using Principal Component Analysis (PCA), Exploratory Factor Analysis (EFA), and bifactor models. …

Mtorc2-Nav1.2 Signaling Drives Early Hyperexcitability In Alzheimer’S Disease Mouse Model, Nolan M Dvorak, Jeffrey L Noebels

Faculty, Staff and Students Publications

Hyperexcitability is a biomarker of early-stage Alzheimer’s Disease (AD) and hastens cognitive decline later in its course. Mechanistic target of rapamycin (mTOR) signaling contributes to the slope of this trajectory, as evidenced by early increased brain expression and the rescue of hyperexcitability by genetic deletion of mTOR complex 2 (mTORC2); however, a molecular mechanism directly linking mTOR signaling to membrane hyperexcitability in early-stage AD remains elusive. Here, we show that hyperactive mTOR signaling stimulates the voltage-gated Na+ channel 1.2 (Nav1.2), a previously identified downstream phosphorylation target of mTORC2 and a key regulator of membrane electrogenesis. Augmented Nav1.2 channel function induced …

Impact Of School Nurse Education On Factors Influencing Hpv Vaccine Communication With Parents, Jihye Choi, Efrat K Gabay, Jeanette Deason, Elizabeth Baumler, Diane Santa Maria, Daisy Mullassery, Lara S Savas, Erika Thompson, Sanghamitra M Misra, Paula M Cuccaro

Faculty, Staff and Student Publications

Human papillomavirus (HPV) can cause six cancer types but can be prevented with timely vaccination in early adolescence. However, despite the wide availability of the HPV vaccine, uptake remains suboptimal among US adolescents. School nurses are invaluable resources to students and their families regarding adolescent immunization needs. As part of the All for Them vaccination program, we assessed the impact of the continued nurse education (CNE) intervention on school nurses’ HPV vaccine communication with parents. Seventy-two school nurses and nurse administrators in Texas participated in the study. Using a single-arm study design, we measured participants’ potential barriers to and self-efficacy …

Artificial Intelligence (Ai) For Social Innovation In Health Education: Promoting Health Literacy Through Personalized Ai-Driven Learning Tools – A Systematic Review, Dina Mansour Tbaishat, Maha Waleed Elfadel

All Works

Background: Artificial Intelligence (AI) is transforming health education by enabling personalized, adaptive, and scalable approaches that may enhance aspects of health literacy. Despite rapid adoption, comprehensive synthesis of AI tools’ impact on health literacy as social innovation is limited. Understanding these effects guides educators, developers, and policymakers in designing potentially effective, inclusive, and ethical AI interventions. This review examines generative AI models, chatbots, and adaptive learning systems in supporting health literacy globally. Methods: A systematic review was conducted following PRISMA guidelines. Literature was identified primarily through PubMed/Medline, Scopus, and ScienceDirect. Connectedpapers.com was used exclusively as a citation chasing tool, performing …

An Advanced Healthcare System With An Automated Vit Model For Dermoscopic Skin Cancer Identification, Ahed Abugabah, Prashant Kumar Shukla, Suchi Mishra, Abhishek Dwivedi

All Works

Early and reliable diagnosis of skin cancer from dermoscopic images remains challenging due to class imbalance, subtle inter-class variations, lesion boundary ambiguity, and illumination inconsistency, which can degrade the robustness of conventional convolutional neural networks (CNNs). To address these limitations, this study proposes an automated smart healthcare framework for dermoscopic skin cancer diagnosis using an Enhanced Vision Transformer (E-ViT) that improves global-context modeling through self-attention while strengthening fine-grained lesion representation learning. Unlike standard ViT configurations, the proposed architecture integrates multi-scale patch embedding and attention refinement to better capture border irregularities and color–texture heterogeneity that are critical for melanoma discrimination. Furthermore, …

Perspective: Improving Social Connection And Inclusion Through Equitable Digital Health Solutions, Dominika Kwasnicka, Jaimon Kelly, Eleanor Quested, Loretta Baldassar, Suzanne Robinson, Richard Sinnott, Paul O’Halloran, Anne Tiedemann, Paul Flatau, Rajna Ogrin, Jane Farmer, Abby C. King

Research outputs 2022 to 2026

In this Perspective, we address the critical intersection of digital health, social connection, and health equity. Taking an interdisciplinary and complex adaptive systems perspective, we highlight evidence-based digital solutions to improve social connection and inclusion and, consequently, health outcomes. We describe actionable strategies for ensuring that digital health innovations benefit all, highlighting how user-centered design can address diverse needs, particularly for structurally disadvantaged populations.

Methylated Cfdna May Distinguish Between High- And Intermediate-Risk Uveal Melanoma: A Pilot Study, Mike Wu, Daniël P. De Bruyn, Ruben G. Boers, Aaron B. Beasley, Daan M. Hazelaar, Stavros Makrodimitris, Joachim B. Boers, Jolanda Vaarwater, Ronald O.B. De Keizer, Robert M. Verdijk, Nicole C. Naus, Dion Paridaens, Saskia M. Wilting, Elin S. Gray, Wilfred F.J. Van Ijcken, Joost Gribnau, Annelies De Klein, Erwin Brosens, Emine Kiliç

Research outputs 2022 to 2026

Background: Uveal melanoma (UM) is a highly aggressive malignancy with a metastatic risk that depends on the molecular subclass. This subclass can be determined through molecular characterization of tumor-derived tissue. With eye-sparing treatments, tumor tissue is rarely available for molecular testing. We hypothesized that minimal invasive biomarkers such as methylated cell-free DNA (cfDNA) or circulating tumor DNA (ctDNA) can be used for prognosis and monitoring of patients. Methods: Plasma cfDNA was isolated from healthy blood donors (HBDs, N = 19) and UM patients (N = 22). Plasma was collected at baseline (localized disease, N = 13) and during follow-up (metastatic …

Sarcomerogenesis: Evidence, Context And Key Stimuli—Response To The Commentary By Power Et Al., Anthony J. Blazevich, Walter Herzog, João Pedro Nunes

Research outputs 2022 to 2026

No abstract provided.

Application Of The Paediatric Medical Traumatic Stress Model To The Mental Health Experience Of Young People Living With Type 1 Diabetes: A Qualitative Study, Rigel Paciente, Sara Coombs, Karen Lombardi, Helen Milroy, Keely Bebbington, Heather Roby, Craig E. Taplin, Nicole Wickens, Stella Rose, Alix Woolard

Research outputs 2022 to 2026

Despite the various traumatic events that a young person living with type 1 diabetes (T1D) may experience, little is known about the burden and manifestation of traumatic stress in this population. Though mental health outcomes have been explored generally, medical trauma-sensitive approaches to understanding these experiences remain limited. We utilised a qualitative descriptive approach to explore the impact of T1D on young people’s mental health through the paediatric medical traumatic stress model (PMTS). Young people aged 13–30 living with T1D were interviewed. These interviews were recorded, transcribed, and analysed using Reflexive Thematic Analysis. Three main themes were generated: (1) perceived …

Body Composition And Muscle Health Changes After Providing Vascular Imaging Results In Older Adults: Secondary Analysis Of A Randomised Controlled Trial, Jack Dalla Via, Simone Radavelli-Bagatini, Marc Sim, Abadi K. Gebre, Catherine P. Bondonno, Kun Zhu, Shelby Mullin, John T. Schousboe, Richard J. Woodman, Markus P. Schlaich, Moira Sim, Pawel Szulc, Douglas P. Kiel, Wai H. Lim, Robin M. Daly, Jonathan M. Hodgson, Joshua R. Lewis

Research outputs 2022 to 2026

Background: Provision of vascular imaging results has been investigated to prompt changes towards healthy lifestyle behaviours, but effects on body composition and muscle health are unknown. Aim: This secondary analysis of a 12-week parallel-group randomised controlled trial (RCT) aims to explore body composition and muscle health effects of providing healthy lifestyle education (Ed) with and without abdominal aortic calcification (AAC) results. Methods: A total of 240 Australian community-dwelling older men and women (mean ± SD age 68 ± 5 years; 58% female; 57.1% with evidence of AAC) were randomised to AAC + Ed (n = 121) or Control + Ed …

Discriminative Performance Of Externally Validated Dementia Risk Prediction Models: A Systematic Review And Meta-Analysis, Blossom C.M. Stephan, Jacob Brain, Kaarin J. Anstey, Tanya Buchanan, Claire V. Burley, Elissa Burton, Jennifer Dunne, Linda Errington, Matthew Gorringe, Zhongyang Guan, Bronwyn Myers, Serena Sabatini, Marc Sim, William Stephan, Eugene Yee Hing Tang, Narelle Warren, Mario Siervo

Research outputs 2022 to 2026

Background: Data on the external validation of current dementia risk prediction models has not yet been systematically synthesised. This systematic review and meta-analysis collated results from three previous reviews to evaluate the predictive discriminative performance of dementia risk models when validated in population-based settings. Methods: Embase (via Ovid), Medline (via Ovid), Scopus, and Web of Science were searched from inception to June 2022 with an updated search conducted up to November 2024. Included studies (1) had a population-based cohort design; (2) assessed incident late-life (i.e. ≥ 60 years) dementia; and (3) reported predictive performance of at least one dementia risk …

Progression Of Non-Radiographic To Radiographic Axial Spondyloarthritis: A Risk Model Based On A Chinese Cohort Study, Rui Ying Deng, Xiaojia Xu, Jian Hua Peng, Feng Cai Shen, Yao Gong, Dan Min Wang, Hong Jin Liang, Shu Xin Huang, Zhao Peng Chen, Wen Long Wu, Ze Xin Zheng, Ling Lin, Zhi Duo Hou

Research outputs 2022 to 2026

Objectives: To evaluate the progression from non-radiographic axial spondyloarthritis (nr-axSpA) to radiographic axial spondyloarthritis (r-axSpA) in a Chinese cohort, identify associated risk factors in both clinical and imaging arms, and enable risk stratification based on these factors. Methods: Overall, 572 patients with nr-axSpA were enrolled with a median follow-up of 5 years. Cox proportional hazard regression analyses were conducted to identify potential risk factors associated with the progression from nr-axSpA to r-axSpA in both clinical and imaging arms. A risk-scoring system was then developed by assigning each independent predictor a weight based on its regression coefficient. Patients were subsequently categorized …

Acute Effects Of Accentuated Eccentric Loading On Mean Concentric Velocity During Resistance Training: A Systematic Review And Meta-Analysis, Jiahao Yang, Tsuyoshi Nagatani, Paul Comfort, Kristina L. Kendall, G. Gregory Haff

Research outputs 2022 to 2026

Background: Accentuated eccentric loading (AEL) may acutely enhance the concentric (CON) barbell velocity after the additional eccentric (ECC) load is removed, however there are inconsistent results regarding the effectiveness of this practice within the scientific literature. Objective: The aims of the present study were to: (1) examine the acute effects of applying AEL, only on the first repetition of a set, on mean barbell velocity during the CON phase of the first 3 repetitions of the set and (2) investigate the influence of the magnitude of ECC load, loading differential and exercise selection on the acute effects of AEL. Methods: …