Digital Commons Network^™

10.20.2025 Ored Connect, Liz Williamson

ORED Newsletter

• OTC Director Candidate Forum
• ORED Small Grants Program RFP

Type I Hybrid Effectiveness-Implementation Randomised Controlled Trial To Address Intergenerational Impact Of War Trauma And Resilience Among Second-Generation Refugee Children In The Usa: Resettled Refugee Families For Healing (Rrf4h) Study Protocol, Nhial T Tutlam, Tewodros W Liyew, Theresa S Betancourt, Byron J Powell, Shenyang Guo, Mary Mckay, Fred M Ssewamala

2020-Current year OA Pubs

INTRODUCTION: Children from refugee families resettled in the USA face higher risks of serious mental health challenges compared with their native-born peers. Research shows that refugee youth in high-income countries frequently suffer from trauma-associated disorders such as post-traumatic stress disorder (PTSD), depression and anxiety. The high prevalence of trauma-associated mental health problems among these youth may be attributed to their own trauma exposure, especially if born in conflict zones, and post-resettlement challenges like poverty, acculturation difficulties, racism and discrimination. However, they may also suffer from the effects of intergenerational trauma, where parental war trauma impacts them. This study aims to …

Large Language Models As Information Providers For Appropriate Antimicrobial Use: Computational Text Analysis And Expert-Rated Comparison Of Chatgpt, Claude And Gemini, Marcello Di Pumpo, Maria Rosaria Gualano, Danilo Buonsenso, Francesca Raffaelli, Daniele Donà, Vittorio Maio, Patrizia Laurenti, Walter Ricciardi, Leonardo Villani

College of Population Health Faculty Papers

OBJECTIVES: Antimicrobial resistance is a critical public health threat. Large language models (LLMs) show great capability for providing health information. This study evaluates the effectiveness of LLMs in providing information on antibiotic use and infection management.

METHODS: Using a mixed-method approach, responses to healthcare expert-designed scenarios from ChatGPT 3.5, ChatGPT 4.0, Claude 2.0 and Gemini 1.0, in both Italian and English, were analysed. Computational text analysis assessed readability, lexical diversity and sentiment, while content quality was assessed by three experts via DISCERN tool.

RESULTS: 16 scenarios were developed. A total of 101 outputs and 5454 Likert-scale (1-5) scores were obtained …

Estrogen-Related Receptor Alpha Promotes Skeletal Muscle Regeneration And Mitigates Muscular Dystrophy, Thi Thu Hao Nguyen, Ya Xiang Huang, Svitlana Poliakova, Citu Citu, Eira Mann, Danesh H Sopariwala, Zhongming Zhao, Ashok Kumar, Vihang A Narkar

The Brown Foundation: Institute of Molecular Medicine

Skeletal muscle regeneration in chronic muscle diseases such as Duchenne Muscular Dystrophy (DMD) has remained clinically unsurmountable. Estrogen‐related receptor alpha (ERRα) plays a critical role in adult skeletal muscle metabolism and exercise fitness. Whether ERRα activation can drive muscle regeneration and mitigate dystrophy in DMD is not known. We have investigated ERRα signaling in pre‐clinical models of acute muscle injury and DMD. ERRα is induced in differentiating C2C12 myoblast and regenerating muscle. ERRα silencing suppressed proliferation and differentiation in C2C12 myoblasts. RNA sequencing revealed that angiogenic factor and proliferation genes were downregulated by ERRα knockdown in proliferating cells, whereas oxidative …

Tableau Part Ii - October 2025, Rubab Shahzad

Day Family Research Lab Workshop Series

Part Two of Introduction to Tableau. Learn to make cool visualizations using Tableau. A hands-on opportunity where we will go over calculated fields, hierarchies, unions, dashboards, and stories.

Prior experience with Tableau is recommended

10.13.2025 Ored Connect, Liz Williamson

ORED Newsletter

• ORED Small Grants Program RFP
• Mississippi Impact Grants RFP
• Contest to Promote Lab Practices
• Field Fest
• AAAS Membership for Faculty, Staff, and Students 

Revolutionizing Digital Health In Rwanda: Progress Toward Universal Health Coverage, Roméo Bananeza Mr

Journal Of Indian Physician Associates

Rwanda is an African country that is making rapid progress in all sectors, including digital health. This review explores Rwanda’s transformative journey in digital health, highlighting key achievements, ongoing challenges, community involvement, and future prospects. Rwanda’s commitment is evident in using electronic health records, telemedicine, and mobile health applications. Rwandan institutions, including Rwanda Biomedical Center, Rwanda Ministry of Health, Rwanda Health Information Exchange, Rwanda Development Board, Partners in Health, universities, and several nongovernmental organizations, have made significant contributions to revolutionize digital health in Rwanda. However, the country continues to face barriers, including limited digital infrastructure, financial constraints, and disparities in …

Discriminative Accuracy Of Cha2ds2-Vasc Score, And Development Of Predictive Accuracy Model Using Machine Learning For Ischemic Stroke Risk In Cardiac Amyloidosis And Atrial Fibrillation, Waqas Ullah, Abhinav Nair, Eric Warner, Salman Zahid, Mansoor Rahman, Palwasha Khan, Indranee Rajapreyar, Sridhara S. Yaddanapudi, M. Chadi Alraies, Said Ashraf, Jeffery Van Hook, Yegeny Brailovsky

Department of Medicine Faculty Papers

BACKGROUND: CHA2DS2-VASc score in cardiac amyloidosis (CA) with atrial fibrillation (AF) is believed to underestimate ischemic stroke risk, necessitating a better predictive model.

METHODS: Data were obtained from the National Readmission Database (NRD). Outcomes between CA-AF and no-CA-AF were compared using multivariate regression analysis to calculate adjusted odds ratios (aORs). AutoScore, an interpretable machine learning framework, was used to develop a stroke risk prediction model, and its predictive accuracy was evaluated with an area under the curve (AUC) using the receiver operating characteristic analysis.

RESULTS: A total of 11,860,804 (CA-AF 22,687 (0.19%) and no-CA-AF 11,838,117) patients were identified from 2015 …

Ophthoacr (Ophthalmology Automated Chart Review): An Ai-Powered Tool For Complete Automation Of Ophthalmology Chart Reviews And Cohort Data Analysis, Karen M. Chen, Kevin W. Chen, Vlad Diaconita, Stanley Chang, Leejee H. Suh

School of Medicine Faculty Publications

Purpose: Retrospective chart reviews in ophthalmology are essential for gaining clinical insights, but they remain labor-intensive and prone to error. Despite digitization through electronic health records, extracting and interpreting lengthy, unstructured patient histories remains challenging, particularly in ophthalmology, which relies heavily on both imaging and text-based reports. We introduce OphthoACR, a Health Insurance Portability and Accountability Act-compliant artificial intelligence (AI)-powered tool for automated chart review and cohort analyses in ophthalmology. Methods: OphthoACR was applied to extract 16 variables of increasing task difficulty from the complete chart histories of 91 patients who underwent secondary intraocular lens surgery at the Columbia University …

Investigating The Organs At Risk (Oar) Received Dose During Prostate Cancer Therapy Using Intensity Modulated Radiation Therapy (Imrt) And 3d Conformal Radiotherapy (3dcrt): A Comparison Study, Talib Abdulwahid, Hussein Mraity, Mustafa Al-Aseebee, Zeyad Al-Dulaimi, Ali Abid Abojassim

Chulalongkorn Medical Journal

Radiotherapy domain is known to impose undesired risk of radiation to normal tissue surrounding the tumor. So, the treatment planning systems are developing with time to introduce a perfect treatment. Organs at risks surrounding prostate tumors are sensitive to high doses of radiation. This study is aimed at comparing the efficiency of the three-dimensional conformal radiotherapy (3DCRT) and intensity-modulated radiation therapy (IMRT) techniques during the treatment of prostate cancer. A cross-sectional study was performed in Middel Euphrate Csancer Center, Najaf , Iraq. A 25 patients with prostate tumor were enrolled. They underwent CT scans from imaging then treated with x-ray …

Non-Invasive Way For Detection Of Neonatal Jaundice Using Gbr, Priti V. Bhagat, Mukesh Raghuwanshi, Ashutosh D. Bagde

Chulalongkorn Medical Journal

Background: Neonatal jaundice is a common condition in newborns due to excess levels of bilirubin. The traditional method for bilirubin testing is invasive, i.e., through blood tests only, which is painful to infants. Therefore, this study uses machine learning algorithms to develop a non-invasive way to detect neonatal jaundice.

Objectives: Design a computer-aided support system to detect neonatal jaundice using machine learning algorithm.

Methods: The gradient-boosting regression model is used to predict the bilirubin level. Gradient Boosting is a robust boosting algorithm that combines several weak learners into strong learners, in which each new model is trained to minimize the …

The Comparison Of Radiation Attenuation Correction Techniques For Relative Renal Function In Renal Cortical Scintigraphy, Benchamat Phromphao, Sorasak Wanitchanan, Trai Chairat, Thunyaluk Sawatnatee, Tanawat Sontrapornpol

Chulalongkorn Medical Journal

Background: Renal cortical scintigraphy using Tc-99m Dimercaptosuccinic acid (Tc-99m DMSA) is the detection of cortical abnormalities. In addition, relative renal function (RRF) is performed by DMSA scintigraphy and estimated from the radiopharmaceutical uptake in both kidneys with radiation attenuation correction. Generally, attenuation correction is calculated from mathematic methods with kidney depth correction for an accurate renal function value.

Objective: The purpose of this research was to study the correlation of the RRF with radiation attenuation correction by geometric mean (GM) method and kidney depth correction by Beer-Lambert law equation.

Methods: Researchers studied in the spherical phantom, kidney phantom and patient’s …

Phosphorylation Of Ryr1 At Ser2902 Decreases Ca2+ Leak In Skeletal Muscle And Susceptibility To Malignant Hyperthermia And Heat Stroke, Rachel Sue Zhen Yee, Chang Seok Lee, Ting Chang, Sung Yun Jung, Omar Yousif, Courtney Cavazos, John Colyer, Filip Van Petegem, George G Rodney, Susan L Hamilton

Faculty, Staff and Students Publications

The ryanodine receptor 1 (RYR1) is the sarcoplasmic reticulum (SR) Ca2+ release channel required for both skeletal muscle contraction and Ca2+ leak. Mutations in RYR1 cause malignant hyperthermia susceptibility (MHS) and enhanced sensitivity to heat stroke (ESHS), which can result in death due to excessive skeletal muscle thermogenesis upon exposure to volatile anesthetics or heat. Here, we investigated the molecular and physiological functions of phosphorylation of RYR1 at Ser2902 by the kinase SPEG (striated muscle preferentially expressed protein). Muscle from SPEG-deficient mice expressing RYR1 with a Ser2902 →Asp2902 (S2902D) point mutation to mimic phosphorylation by SPEG showed decreased SR Ca2+ …

10.06.2025 Ored Connect, Liz Williamson

ORED Newsletter

• Field Fest
• AAAS Membership
• MIG Application Opportunity
• Contest to Promote Safe Lab Practices

Causal Ai-Based Clinical And Radiomic Analysis For Optimizing Patient Selection In Combined Immunotherapy And Sabr In Early-Stage Nsclc: A Secondary Analysis Of The Phase Ii I-Sabr Trial, Maliazurina B Saad, Eman Showkatian, Vivek Verma, Qasem Al-Tashi, Muhammad Aminu, Xinyan Xu, Muhamed Qayati Mohamed, Morteza Salehjahromi, Sheeba J Sujit, Yuliya Kitsel, Steven H Lin, Zhongxing Liao, Saumil Gandhi, David Qian, David Jaffray, Caroline Chung, Natalie I Vokes, Jianjun Zhang, J Jack Lee, John V Heymach, Jia Wu, Joe Y Chang

Faculty, Staff and Student Publications

Background: The recent phase II randomized stereotactic ablative radiotherapy with and without immunotherapy (I-SABR) trial has shown improved event-free survival (EFS) when adding immunotherapy to stereotactic ablative radiotherapy (SABR) for early-stage inoperable non-small cell lung cancer (NSCLC). However, optimizing patient selection thereof is critical, because not every patient benefits from immunotherapy. Leveraging the powerful use of artificial intelligence, this secondary analysis of the I-SABR trial developed a modeling system (named "I-SABR-SELECT") based on clinical and radiomic factors to address which patients should receive additional immunotherapy.

Methods: The discovery/validation cohorts were from the I-SABR trial, with external validation from the single-arm …

Post-Rt Head And Neck Dce-Mri: Association Between Mandibular Dose And Ve, Brandon Reber, Renjie He, Moamen R Abdelaal, Abdallah S R Mohamed, Samuel L Mulder, Laia Humbert Vidan, Clifton D Fuller, Stephen Y Lai, Kristy K Brock

Faculty, Staff and Student Publications

Background: Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is a functional imaging modality that can quantify tissue permeability and blood flow. Due to vasculature changes resulting from radiation therapy (RT), DCE-MRI quantitative parameters should be significantly different in regions receiving a high radiation dose compared to regions receiving a low radiation dose. This study sought to determine whether a significant difference exists in post-head-and-neck-cancer (HNC)-RT DCE-MRI quantitative parameters (Ktrans and ve) between regions of the mandible receiving a high radiation dose and regions of the mandible receiving a low radiation dose.

Methods: DCE-MRI was acquired from HNC subjects post-RT. The DCE-MRI …

Vaccine Value Profile For Schistosomiasis, Gavin Yamey, Kaci Kennedy Mcdade, Roy M Anderson, Sarah M Bartsch, Maria Elena Bottazzi, David Diemert, Peter J Hotez, Bruce Y Lee, Donald Mcmanus, Adebayo J Molehin, Meta Roestenberg, David Rollinson, Afzal A Siddiqui, Miriam Tendler, Joanne P Webster, Hong You, Raphaël M Zellweger, Caroline Marshall

Faculty, Staff and Students Publications

Schistosomiasis is caused by parasitic flatworms (Schistosoma). The disease in humans can be caused by seven different species of Schistosoma: S. mansoni, S. japonicum, S. haematobium, S. malayensis, S. mekongi, S. guineensis and S. intercalatum, as well as by hybrids between species, including livestock schistosome species. People are infected when exposed to infested water and the parasite larvae penetrate the skin. Poor and rural communities are typically the most affected, and the general population who lives in affected areas and is exposed to contaminated water is at risk. Areas with poor access to safe water and adequate sanitation are also …

Analisis Implementasi Rekam Medis Elektronik Terhadap Kelengkapan Dokumentasi Rekam Medis, Novita Purnamasari, Adang Bachtiar

Jurnal ARSI : Administrasi Rumah Sakit Indonesia

Completeness of medical records is one of the important factors in improving the quality of health services. Despite its importance, incomplete documentation remains a prevalent issue, and the adoption of Electronic Medical Records (EMRs) is anticipated to address this challenge. This study is a narrative review and utilized the PRISMA 2020 flow diagram for literature selection. Articles were sourced from the ProQuest and Scopus databases for articles published in 2019-2024. From an initial selection of 431 articles, eight articles met the inclusion criteria for this study. The analysis of these studies shows that the implementation of electronic medical records positively …

Effect Of Establishing A Separate Outpatient Pharmacy Counter On Reducing Waiting Time In Mayapada Hospital, Hanifan Irham, Masyitoh Basabih

Jurnal ARSI : Administrasi Rumah Sakit Indonesia

Pharmacy waiting time is one of the quality indicators that affects patient satisfaction in hospitals. One of the various efforts to reduce drug waiting times is adding outpatient pharmacies. This study aims to see whether the addition of pharmacies based on guarantors can reduce drug waiting times for outpatients. This is an observational study with a cross-sectional design. The sample included 11,703 patients who received prescriptions at Mayapada Hospital Bogor outpatient with insurance and private coverage. Data were collected over four months, two months before and two months after the separation of pharmacies. Waiting time data were obtained from the …

Comparing Massed And Distributed Course Formats: Effects On Outcomes In A Graduate Augmentative And Alternative Communication Course, Brandon Scott Eddy, Alli Sauerwein, Leah Meloy, Eric Sanders

Teaching and Learning in Communication Sciences & Disorders

The effects of massed versus distributed learning have been well studied in the verbal and motor learning literature, with findings suggesting enhanced outcomes from distributing learning over time. However, some studies have found limited evidence to support enhanced outcomes from distributed learning when applied to an entire academic course. The effects of course scheduling on student learning in speech-language pathology graduate coursework have received limited attention. This study compared learning outcomes between a one-week massed format and an eight-week distributed format in an online two-credit augmentative and alternative communication graduate-level course. Learning outcomes were assessed before students enrolled, immediately after …

The Rise Of E-Patients In Tanzania: Reflections On The Unregulated Growth Of Digital Health Consultations, Kahabi Isangula

School of Nursing & Midwifery, East Africa

Background: Digital technologies have significantly transformed healthcare delivery globally, enabling patients to access healthcare services through electronic and mobile platforms. In Tanzania, this transformation has manifested in the rise of “e-patients” — individuals who actively seek health advice, consultation, or treatment through unregulated digital platforms. This paper examines the drivers, patterns, and implications of this trend in Tanzania.

Methods: A descriptive approach was employed, synthesising peer-reviewed and grey literature from global and sub-Saharan African sources, with a particular focus on Tanzania. Insights were also drawn from expert discussions, public digital platforms, and the author’s experiential reflections to contextualize …

Research On Identification And Evaluation Method Of Medical Experts' Expertise Domains In Online Health Community Based On Knowledge Graph, Yunjiang Xi, Qian Zhang, Man Li, Juan Yu

Journal of Scientific Information Research

[Purpose/significance] This study aims to identify the expertise domains of medical experts, and evaluates their domain levels to provide a basis for community expert recommendation.

[Method/process] This study utilized the improved OneRel model to structure community historical Q&A into entity relation triples. Then used the knowledge graph triples to test the consistency between the medical knowledge in the community Q&A and the domain knowledge, and finally obtained the doctor's domain levels by aggregating in each expertise domain.

[Result/conclusion] Using the data example from xywy.com website, 214 doctors in the community were ranked in terms of their average level of expertise …

Adipose Tissue Estrogen Receptor-Alpha Overexpression Ameliorates High-Fat Diet–Induced Adipose Tissue Inflammation, Marion C. Hope, Christian A. Unger, M. Chase Kettering, Cassidy E. Socia, Ahmed K. Aladhami, Barton C. Rice, Darya S. Niamira, Ben P. Wiznitzer, Diego Altomare Ph.D., William E. Cotham, Reilly T. Enos

Faculty Publications

Context

We created an innovative mouse model that enables inducible overexpression of estrogen receptor-alpha (ERα), specifically in adipose tissue (Adipo-ERα↑). Objective

We aimed to investigate how elevated Adipo-ERα↑ influences the development of high-fat diet (HFD)-induced obesity in both male and female mice. Methods

Male and female Adipo-ERα↑ mice and littermate controls were fed a low-fat diet (LFD) or HFD for 13 weeks. Adipo-ERα↑ was induced at the initiation of dietary treatment. Body morphology and composition, hepatic lipid accumulation, glucose tolerance, fasting insulin concentrations, and adipose tissue mRNA profiling were assessed. Liquid chromatography–mass spectrometry was used to determine circulating and adipose …

Smarter Disease Detection From Electronic Health Record Data: An End-To-End Ai-Augmented Pipeline For Computable Phenotyping, Dylan Owens

Statistical Science Theses and Dissertations

Electronic Health Records (EHR) contain a wealth of structured and unstructured patient data that can be leveraged for computable phenotyping, the process of algorithmically identifying patient cohorts with specific diseases or conditions. Traditional rule-based phenotyping approaches, while interpretable, often struggle with scalability, portability across institutions, and effective use of unstructured clinical narratives. Recent advances in large language models (LLMs) present new opportunities for synthesizing complex free-text information into concise, clinically meaningful representations. However, integrating LLMs into phenotyping workflows requires careful design to maintain transparency, interpretability, and measurable uncertainty—features essential for clinical adoption and downstream applications such as decision support.

We …

Spatiotemporal Modeling Of Maternal Mortality In South Carolina 2018-2023, Leah Wood, Ray Bai, Emily Mann

Senior Theses

Maternal death serves as a public health indicator due to fact that it is considered preventable with the availability of modern biomedicine, however, it persists broadly throughout the United States. Current literature outlines national trends in maternal mortality with complicating, preexisting conditions, and structural upstream factors often cited as being the largest contributors to increased risk. This study utilizes publicly available, county-level data for maternal death in addition to demographic and descriptive data in order to estimate maternal mortality rates in each of South Carolina’s 46 counties from 2018 to 2023. In order to address sparsity in the outcome variable …

Use Of Modified Z-Domain Peptides To Specifically Label The Constant Region Of Immunoglobulin G And Vegf, Madeline Allen

Department of Chemistry: Dissertations, Theses, and Student Research

Antibodies are increasingly being used in medicinal therapies due to their ability to specifically bind to a target antigen. This fundamental behavior of antibodies has been used as a key component in drug development to address common problems with traditional drug molecules such as off-targeting, fast drug clearance, and low efficacy. This thesis provides some background into how antibodies can be used as potential treatments for a few diseases. Chapter 1 begins with an overview of the human immune system, and the role antibodies play within it. Then, the variety of ways in which antibodies can be used as medicinal …

Une Com Research And Scholarship Fall Forum October 2025, Une Com Research & Scholarship

Osteopathic Student Research Symposia

Program including abstracts from the University of New England College of Osteopathic Medicine’s 2025 Research and Scholarship Fall Forum.

Supplemental content: List of award winners.

Persistent Chemicals In Particulate Matter (Pm) Near A Hazardous Waste Thermal Treatment Facility, Chuqi Guo, Martine E. Mathieu-Campbell, Thomas Blanchard, Lavrent Khachatryan, Md Abdullah Al-Mamun, Qingzhao Yu, Myron Lard, Oluwafeyikemi Ogunmusi, Brenda Vallee, Wilma Subra, Iriel Edwards, David Malone, Slawo Lomnicki, Stephania A. Cormier, Jennifer Richmond-Bryant

School of Public Health Faculty Publications

Colfax, an overburdened community in central Louisiana, hosts the last commercially-operated open-burn/open-detonation (OB/OD) hazardous waste thermal treatment facility in the United States. Until December 2023 when their permit disallowed OB/OD, the facility processed military waste, fireworks, propellants, soils excavated from Superfund sites, and other hazardous materials. This community-engaged study measured ambient fine particulate matter (PM2.5), environmentally persistent free radicals (EPFRs), polychlorinated dibenzo-p-dioxins and dibenzofurans (PCDD/Fs), and metals using two high-volume PM2.5 samplers deployed 1.2 mi and 9.0 mi from the facility from April, 2022 through February, 2023. Elevated PM2.5 concentrations were recorded at both sites during spring and summer 2022. …

Effect Of Different Implant Abutment Materials On Optical Properties Of Translucent Monolithic Zirconia Crowns, Nisha Patel, Geoffrey A. Thompson, Carl Drago, Mohamed Elshewy, David W. Berzins, Hongseok An

School of Dentistry Faculty Research and Publications

Purpose

The use of translucent monolithic zirconia crowns in implant dentistry raises concerns about the underlying abutment color affecting esthetic outcomes. While abutment effects are documented for traditional ceramics, data are limited for modern monolithic zirconia. The purpose of this investigation is to evaluate how abutment material and zirconia brand influence the final color of translucent monolithic zirconia crowns.

Materials and Methods

Eighty monolithic zirconia crowns (four brands; n = 20 each) were fabricated in shade A2 and cemented onto five abutment types: titanium (Ti), gold-hued Ti, pink-hued Ti, zirconia, and a natural dentin-shaded control. Crowns were placed on abutments …

Honors Faculty Research Talk Ml Tlachac, Ml Tlachac

Honors Programs

PowerPoint Slides of Honors Research Talk by ML Tlachac.