Medicine and Health Sciences Commons^™

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

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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

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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, …

The Impact Of Partner Support On Vaginismus Treatment Outcomes: A Mixed Methods Study, Anna R. Ames, Alisha H. Redelfs, Nana Mensah

ScholarsArchive Data

A mixed-methods design was used to gain a nuanced understanding of how partner support affects the experiences of people with vaginismus.

Study aim: To guide partners of people with vaginismus in understanding how they can best help their partners with their vaginismus experience. 

• Quantitative Data: cross-sectional survey to reveal correlations in the relationship between vaginismus treatment outcomes and partner support [Available]
• Qualitative Data: Individual interviews to explore specific ways that people with vaginismus receive, or want to receive, support from their partners and the significance that they place on partner support  [Not Available]

Survey Data
Survey participants were recruited in …

Infant Hippocampal And Amygdala Volume In An Observational Follow-Up From A Randomized Clinical Trial For Maternal Prenatal Depression, Catherine H. Demers, Benjamin L. Hankin, Lillybelle K. Deer, Robert J. Gallop, Mercedes Hoeflich Haase, M. Camille Hoffman, Martin A. Styner, Nancy K. Grote, Elysia Poggi Davis

Psychology: Data Sets

Prenatal maternal depression may have intergenerational effects on offspring brain development, with potential socioemotional consequences. In an observational follow-up of a randomized clinical trial of a prenatal depression intervention (the CARE Project; ClinicalTrials.gov NCT03011801), brain development and subsequent negative emotionality were examined among 109 infants born to mothers randomized during pregnancy to brief interpersonal psychotherapy or enhanced usual care. These data include MRI-derived hippocampal and amygdala volumes at approximately 6 weeks of age and a laboratory-based assessment of infant negative emotionality at 6 months.

Resulting Publication: Infant hippocampal and amygdala volume in an observational follow-up from a randomized clinical trial …

Plant-Dominant Low-Protein Diet Versus Standard Care In Adults With Chronic Kidney Disease Stages 3–5: A Randomized Controlled Trial Protocol, Joelle Abi Kharma, Rana Sultan, Rana Rizk, Dalya Haroun, Hala Kilani, Kamyar Kalantar-Zadeh, Jessica Gubbels, Kathelijne Bessems

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Background The plant-dominant low-protein diet (PLADO), providing 0.6-0.8 g/kg/d of protein with ≥50% derived from plant sources, may improve acid–base balance and metabolic outcomes in chronic kidney disease (CKD). However, concerns remain regarding safety and feasibility, and experimental evidence is limited. Objective This protocol describes a randomized controlled trial (RCT), designed to evaluate the efficacy, nutritional and biochemical safety, implementation feasibility, and cost-effectiveness of PLADO compared with the standard renal diet in adults with CKD stages 3-5. Methods This unblinded, parallel-group RCT will enroll 48 adults with CKD stages 3-5 in a medical center in Lebanon and randomize participants 1:1 …

Best Strategies To Teach Nutrition Courses In Graduate Programs: A Systematic Review, Zeina Hojeij, Suzan Haidar, Rana Rizk, Nadine Mahboub

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Introduction – Graduate-level nutrition education requires innovative teaching strategies that foster advanced clinical competence, professional communication, cultural responsiveness, and self-directed learning. Methods – This systematic review synthesized evidence from fifteen peer-reviewed studies examining diverse teaching strategies in graduate nutrition programs. Results – Most interventions employed simulation-based learning, experiential placements, or flipped classrooms, often incorporating technology such as virtual simulations and online collaborative platforms. Simulation and experiential approaches improved clinical competence, communication skills, empathy, and self-efficacy by providing realistic, hands-on experiences that bridged theoretical knowledge with professional practice. Flipped classrooms, though less frequently implemented, promoted teamwork, problem-solving, and reflective learning, while …

Smart Medical Support System And Swin Transformer Framework For Breast Cancer Detection And Segmentation In Mammograms, Ahed Abugabah, Prashant Kumar Shukla, Piyush Kumar Shukla, Abhishek Dwivedi

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Accurate and reliable breast cancer detection from mammographic images remains a critical challenge due to subtle lesion appearance, high intra-class variability, and class imbalance inherent in clinical datasets. To address these issues, this study proposes Swin-BreastNet, an explainable and optimization-driven deep learning framework for binary classification of benign and malignant breast lesions from full-field digital mammograms. The proposed approach leverages the hierarchical Swin Transformer model to effectively capture fine-grained local texture patterns and long-range contextual dependencies through Shifted Window Multi-head Self-Attention (SW-MSA). A key novelty of this work lies in the integration of Harris Hawks Optimization (HHO) for automated hyperparameter …

Quality Improvement Project: The Critical Role Of Provider Knowledge In The Golden Hour, Kimberly Mcglothan

Doctor of Nursing Practice Projects

Maternal and infant mortality rates in the Southern United States remain disproportionately high, and inconsistent implementation of the Golden Hour, defined as uninterrupted skin to skin contact for at least the first hour after birth, continues to limit its evidence based maternal and neonatal benefits. The aim of this Doctor of Nursing Practice (DNP) quality improvement project was to evaluate the impact of a structured provider education intervention on Golden Hour compliance and provider confidence. Guided by Benner’s Novice to Expert Theory and implemented using Kotter’s 8-Step Change Model, a quantitative, quasi experimental pre-post design was used. The project was …

Evolving Landscape Of Respiratory Infections And Amr In The Uae: A 12-Year Nationwide Study Of Regional Burden, Epidemiologic Trends And Policy Implications, Madikay Senghore, Jens Thomsen, Najiba M. Abdulrazzaq, Wei Chen, Eveline Kaambo, Stefan Weber, Fouzia Jabeen, Godfred Antony Menezes, Carole Ayoub Moubareck, Dean B. Everett, Abiola Senok

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Objectives This study characterizes the epidemiological trends and resistance profiles of respiratory tract infections (RTIs) in the United Arab Emirates (UAE) from 2010 to 2022, aiming to inform national control strategies. Method We conducted a retrospective observational study of RTI cases across 345 UAE healthcare settings using data from the national surveillance network. Pathogen identification and resistance profiling were performed using advanced diagnostics and standardized antimicrobial susceptibility testing, in accordance with Clinical and Laboratory Standards Institute (CLSI) guidelines. Results Lower respiratory tract infections (LRI) comprised most cases (73.1%; n = 100,856), including 6416 due to Mycobacterium tuberculosis , while upper …

Obesity And The Gut Microbiota In The Middle East: A Cross-Cultural Study Of Lebanese And Emirati Adults, M. Ali Ahmad, M. Abou-Samra, E. Blaak, M. Karavetian, C. Ayoub Moubareck, K. Venema

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Obesity is a growing public health concern in the Middle East and North Africa (MENA) region, yet limited research has explored how gut microbiota varies between Arab populations. This study compared the gut microbiota composition and diversity of Emirati and Lebanese adults with obesity and assessed the role of age and nationality in shaping microbial variation. A total of 43 Emirati and 30 Lebanese individuals with obesity (body mass index (BMI) ≥35 kg/m2) were recruited. Participants provided anthropometric and biochemical data, dietary records, and stool samples for 16S rRNA sequencing. The analysis revealed significantly higher BMI, weight, and fat mass …

Prevalence And Factors Associated With Regular Fast-Food Consumption Among The Adult Population In Qatar: Cross-Sectional Analysis From Qatar Biobank Cohort, Alaa Zuhair Massarweh, Lynne Alexandra Kennedy, Asayel Saleh, Aljazi Al-Thani, Ala Al Rajabi

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Background The Eastern Mediterranean Region has undergone a rapid nutrition transition over the last three decades, with healthier traditional table diets displaced by energy-dense convenience foods. To the best of our knowledge, this is the first large cohort-based estimate of regular fast-food consumption (RFFC >= 1 time/week) and its correlates among the adult population in Qatar using Qatar Biobank, a volunteer prospective cohort of Qataris and long-term residents.Methods A cross-sectional study using a simple randomized sample of 2,000 adult participants from the Qatar Biobank (QBB) longitudinal cohort. Dietary intake was assessed using a validated food-frequency questionnaire. RFFC was modeled as …

Disease Burden Attributable To Intimate Partner Violence Against Females And Sexual Violence Against Children In 204 Countries And Territories, 1990–2023: A Systematic Analysis For The Global Burden Of Disease Study 2023, Luisa S. Flor, Cory N. Spencer, Jack Cagney, Gabriela Fernanda Gil, Hasan Aalruz, Samar Abd Elhafeez, Siddig Ibrahim Abdelwahab, Meriem Abdoun, Mesfin Abebe, Yonas Abebe, Armita Abedi, Roberto Ariel Abeldaño Zuñiga, Alemwork Abie, Olumide Abiodun, Richard Gyan Aboagye, Lucas Guimarães Abreu, Rana Kamal Abu Farha, Bilyaminu Abubakar, Sawsan Abuhammad, Meshack Achore, Lisa C. Adams, Babatope Oluwadamilare Adebiyi, Kamoru Ademola Adedokun, Oluwatobi E. Adegbile, Nurudeen A. Adegoke, Olumide Thomas Adeleke, Makinde Adebayo Adeniyi, Zahir Vally

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Background Violence against women and against children are human rights violations with lasting harms to survivors and societies at large. Intimate partner violence (IPV) and sexual violence against children (SVAC) are two major forms of such abuse. Despite their wide-reaching effects on individual and community health, these risk factors have not been adequately prioritised as key drivers of global health burden. Comprehensive x§and reliable estimates of the comparative health burden of IPV and SVAC are urgently needed to inform investments in prevention and support for survivors at both national and global levels. Methods We estimated the prevalence and attributable burden …

Machine Learning For Wearable Sensor-Based Human Movement Rehabilitation: A Five-Year Systematic Review, Yassine Benachour, Farid Flitti, Lina Maloukh, Aicha Beya Far, Elhocine Boutellaa, Mohamed Bentoumi, Marwa Chendeb El Rai, Nour Aburaed, Khaled Ali, Moez Rehman, Sultan Mosleh, Rania Dghaim, Sadok Bouamama

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Wearable-sensor-based human movement analysis is an increasingly important component of digital health and rehabilitation, enabling objective monitoring and data-driven personalization of therapy. In parallel, machine learning (ML) methods have rapidly expanded for interpreting multimodal movement signals, yet the evidence base remains heterogeneous and difficult to benchmark. This PRISMA-guided systematic review synthesizes recent ML approaches for wearable human motion analysis in rehabilitation-oriented health applications. We searched IEEE Xplore, PubMed, and Scopus for English-language studies published from 2021 to 2025 and extracted information on sensor modalities, ML task formulations and model families, dataset characteristics, validation protocols, and reported performance metrics, together with …

Clinical Evaluation Of The Remineralizing Potential Of Biomimetic Scaffolds On Enamel White Spot Lesions: A 12-Month Randomized Controlled Trial, Eman Soliman, Wegdan Abdelfattah, Doaa Ragai M Ahmed, Dina Nagui, Ahmed Holiel

Dentistry

No abstract provided.

Integrative Machine Learning Of Genetic And Lifestyle Factors For Personalized Skin Health, Yassine Benachour, Lina Maloukh, Barbara Geusens

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Objective: To develop an AI framework that combines genetic, phenotypic, and lifestyle data for profiling skin-health patterns and generating hypothesis-supporting summaries for potential decision support. Methods and procedures: A dataset of 5,254 individuals integrates six genes (FLG, AQP3, MMP-1, MMP-3, SOD2, GPX), six phenotype severities, and 20+ lifestyle factors. Mutation burden and interactions are tested by ANOVA. K-modes clustering identifies four interpretable dermatological profiles within the cohort and is embedded in leakage-free nested cross-validation (train-only selection; test labels from training centroids). Subtypes are predicted from genetics plus lifestyle using an XGBoost (XGB) classifier; explainability uses gain, permutation importance, and SHAP …

Predicting Skin Concern Severity From Genetic And Lifestyle Factors: A Comparative Multi-Output Machine Learning Framework, Yassine Benachour, Lina Maloukh, Sadok Bouamama, Barbara Geusens

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Personalized dermatology increasingly leverages both genetic predispositions and lifestyle behaviors to model individual skin health outcomes. This study proposes a multi-output machine learning framework to predict the severity of six dermatological phenotypes—acne, redness, dryness, sensitivity, scarring, and pigmentation—using a multimodal dataset of 5,254 individuals. Input features include mutation profiles for six skin-related genes (FLG, MMP1, MMP3, AQP3, SOD2, GPX) and 22 lifestyle variables such as sun exposure, stress, and hydration. We train and evaluate LightGBM models under independent, multi-output, and chained configurations. Performance is assessed using Mean Absolute Error (MAE) and average Quadratic Weighted Kappa (QWK). The proposed ordinal-aware independent …

Enhancing Breast Cancer Detection In Mammographic Imaging Using Explainable Clinical Decision Support System And Framework, Ahed Abugabah, Prashant Kumar Shukla, Piyush Kumar Shukla, Abhishek Dwivedi

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Breast cancer remains one of the leading causes of mortality among women worldwide, where early and precise detection plays a vital role in improving survival rates and treatment outcomes. However, conventional deep learning approaches often encounter challenges in handling dense mammographic tissues and lack transparency in decision-making, limiting their clinical reliability. To address these limitations, this study introduces TransYOLO-GJO, an explainable and optimized detection framework that integrates transformer-based attention mechanisms into the YOLOv9 architecture and leverages the Golden Jackal Optimization (GJO) algorithm for hyperparameter tuning. The transformer encoder enhances contextual feature extraction, particularly in dense breast regions, while GJO dynamically …

The Associations Between Meniscus Tear Location And The Prevalence And Severity Of Cartilage Wear In Different Knee Compartments Using An Arthroscopic Grading System, Tara Korbal, Claudia Leonardi, Amy Bronstone, Vinod Dasa

School of Medicine Faculty Publications

Introduction: Meniscus tears are associated with progressive cartilage degeneration and worsening osteoarthritis. Although several previous studies have explored the relationship between meniscus tears and cartilage damage, few have examined the relationship between tear location and cartilage wear in all knee compartments using an arthroscopic grading system. Objectives: Evaluate the association between meniscus tear location and the prevalence and severity of high-grade cartilage wear in knee compartments. Methods: A total of 210 patients were categorized into groups based on meniscus tear location: medial meniscus tear (MMT, n = 106), lateral meniscus tear (LMT, n = 41), and medial-lateral meniscus tear (MLMT, …

Acute Gastropericardial Fistula With Cardiac Tamponade And Septic Pericarditis Due To Helicobacter Pylori–Induced Gastric Ulcer Perforation, Stephen J. Bordes, Christopher D. Oubre, Preethi H. Kanumuri, Nicholas Leblanc, Richard Lewis, Thomas Marsden, Terry Stelly

School of Medicine Faculty Publications

No abstract provided.

A Novel Mathematical Model Of Oropouche Virus Transmission Dynamics, Darsh Gandhi, Carli Peterson, Emma Slack, Elizabeth Rubio, Amira Claxton, Christopher M. Kribs

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Rare Case Of Acute Haemorrhagic Rectal Ulcer Case Report, Zaim Gashi, Valon Hamza

UBT International Conference

Acute hemorrhagic rectal ulcer (AHRU) is a relatively rare disease that can lead to massive hematochezia. It presents as a sudden and brisk painless bleed that is common among elderly patients who have chronic conditions such as coronary artery diseases associated with the use of anti-platelets, diabetes mellitus, hypoalbuminemia, liver diseases, sepsis, stroke, and chronic renal failure on hemodialysis. Here, we report a first case of acute hemorrhagic rectal ulcer in our country, with the above-mentioned risk factors and succsessfully endoscopic hemostatic treatment via dual combination therapy wich consist in dilute epinephrine injection and clipsing with finally achieved hemostasis from …

Impact Of High-Protein, Low-Calorie Diet On Anthropometric Indices, Glycation, And Inflammation Associated With The Fat Mass And Obesity (Fto) Gene Among Individuals With Overweight/Obesity, Bibi Hajira, Bismillah Sehar, Fakhrunisa, Sami Siraj, Muhammad Omar Malik, Huma Naqeeb, Ali Madi Almajwal, Sharifa Alblooshi, Hayder Hasan, Iftikhar Alam, Falak Zeb, Fahad Lodhi

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Background: The common polymorphism rs9939609 of the fat mass and obesity gene (FTO) has been associated with increased susceptibility to obesity, but this association appears to be modified by diet. High protein diets have been shown to reduce weight and may increase the formation of circulating advanced glycation end products (AGEs). Obesity, on the other hand, is also associated with increased formation of AGEs, leading to oxidative stress and inflammation. Objectives: This study was designed to investigate the impact of a high-protein and low-calorie (HPLC) diet on anthropometric indices and circulating AGEs levels associated with the FTO variant rs9939609 among …

Cardiogenic Shock With Acute Myocardial Infarction Among Older Adults In The United States, Taha Mansoor, Ali Bin Jabbar, Mahmoud Ismayl, Dylan Yu, Kartik Gupta, Sachin Parikh, Austin Brubaker, Abdul Minhas, Dmitry Abramov, Salim S. Virani

Population Health, East Africa

Background: Characteristics and outcomes associated with cardiogenic shock (CS) with acute myocardial infarction (AMI) in older patients have not been well characterized.

Objectives: The purpose of this study was to investigate characteristics and outcomes of older patients admitted with CS with AMI.

Methods: We used the National Inpatient Sample database to evaluate clinical characteristics of hospitalizations, clinical outcomes, and health care utilization of hospitalizations of older patients ≥80 years with CS and AMI from 2003 to 2021. We also compared data from older patients with a reference relatively younger patient population (18-79 years).

Results: During the study period, …

Optimizing Inventory Management To Reduce Medication Waste At A Low-Resource Clinic, Maqadus A. Khan

Doctor of Nursing Practice Final Project Abstract

Introduction

This project implemented standard operating procedures for inventory management in a low-resource clinic, incorporating First Expired, First Out (FEFO), Just-in-Time (JIT) ordering, and barcode scanning to reduce medication waste and optimize inventory processes. The aim was to reduce medication waste and optimize inventory processes.

Methodology

The Lean Six Sigma framework guided this project. Root causes of waste included inaccurate demand forecasting, lack of expiration tracking, insufficient staff training, poor stock rotation, and absence of standardized procedures. Baseline waste and practices were recorded. Medications were organized with nearing expirations upfront (FEFO), PAR levels were set, and JIT ordering implemented. Waste …

Cocoa Polyphenols Modulate The Mouse Gut Microbiome In A Site-Specific Manner, Abby D. Benninghoff

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Background/Objectives: Dietary modulation of the gut microbiome is a promising strategy for mitigating gastrointestinal diseases, such as inflammatory bowel disease (IBD) and colitis-associated colorectal cancer (CAC). Cocoa powder is rich in polyphenols, including (-)-epicatechin and (+)-catechin, which have been associated with beneficial effects on gut health and microbiome modulation. Importantly, changes in the bacterial populations associated with the gut mucosal layer may have different health impacts compared to changes in cecal or fecal microbiomes. This study investigated the effects of cocoa polyphenol supplementation on microbiome composition across the cecal, fecal, and mucosal compartments in a mouse model of colitis. Methods: …

Covid-19 Vaccine Attitudes And Behaviors Among Pregnant Women In Nairobi, Kenya With Diverse Socio-Economic And Educational Backgrounds, Jessica Schue, Ferdinand Okwaro, Ingrid Gichere, Daizy Cherono, Mandeep Sura, Emily Miller, Berhaun Fesshaye, Prachi Singh, Grace Belayneh Belayneh, Rupali Limaye, Marleen Temmerman

Centre of Excellence in Women and Child Health

Introduction

Methods

Europe–Africa Collaboration: Working Together To Strengthen Health Research, Implementation, And Equitable Systems, Lara Pandya, Irene Norstedt, Martin Seychell, Emer Cooke, Isabel De La Mata Barranco, Niklas Blomberg, Marleen Temmerman, Michael Makanga

Centre of Excellence in Women and Child Health

In September 2024, key representatives from European Union (EU) directorates and agencies convened to enhance collaboration with Africa in strengthening health research, innovation, and implementation. The meeting focused on bolstering joint efforts to improve health outcomes and support wellbeing across all ages in Africa. Despite progress in addressing infectious diseases, the continent faces a dual burden with the rise of non-communicable diseases and emerging threats such as antimicrobial resistance, climate change, falsified medicines, and pandemic risks. These challenges are exacerbated by fragile health systems, rapid population growth, urbanisation, and limited access to affordable medical interventions.

To address these issues, the …

“It's Easier To Deal With The Vaccines You Know Than The Ones You Don't Know”: A Qualitative Study On Healthcare Workers' Vaccine Confidence In Nigeria, Ayobami A. Bakare, Elisa Gobbo, Kofoworola O. Akinsola, Carina King, Julius Salako, Damola Bakare, Halima Usman, Claudia Hanson, Adegoke G. Falade, Sibylle Herzig Van Wees

Centre of Excellence in Women and Child Health

Vaccination is a cost-effective public health intervention that has saved many lives and improved well-being [1]. Between 2011 and 2020, over 20 million deaths were believed to have been averted due to vaccinations in GAVI supported countries [2]. Moreover, globally, Carter et al. estimated additional 51 million deaths are expected to be prevented from vaccines between 2021 and 2030 [3]. Yet, despite the importance of vaccines, there have been concerns about low uptake of vaccines globally [4,5]. This concern was accentuated during the COVID-19 pandemic. Waning vaccine confidence has been recognized as a leading threat to global health [[6], [4], …

Data From: The Dynamic Responses Of The Mouse Gut Microbiome To Dietary Supplementation With Various Anthocyanin-Rich Foods In The Context Of A Western Diet, Abby D. Benninghoff

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Background/Objectives: Anthocyanin (ACN)-rich foods may support gut health by modulating the microbiome and reducing inflammation, potentially lowering the risk of colitis-associated colorectal cancer. However, the dynamic response of the gut microbiome to ACN-rich diets is not well characterized, including in the context of structural and compositional differences among ACN-containing foods. This study examined the temporal response of the mouse gut microbiome to dietary ACNs, focusing on the impact of structural variation. We hypothesized that microbiome shifts would occur rapidly but require sustained dietary ACN intake to persist. Methods: C57BL/6J mice were fed the total Western diet (TWD) supplemented with freeze-dried …

Quality Improvement Project New And Novice Nurse Faculty: Orientation Bootcamp, Megan Titus

Doctor of Nursing Practice Projects

The ongoing shortage of nurse educators across the United States has led to a critical need among nursing programs, particularly in rural areas. A quality improvement project was developed in response to literature regarding the need for new and novice nurse educator orientation programs and limited structured onboarding at the implementation site. The quality improvement project implemented an orientation boot camp for new and novice nurse educators. Guided by Benner’s Novice to Expert Theory (Benner, 2023) and Lippitt’s Phases of Change Theory (Barrow, 2022), the project aimed to enhance faculty preparedness through educational support related to seventeen key nursing education …