Digital Commons Network^™

Clinician-Led Development And Feasibility Of A Neural Network For Assessing 3d Dental Cavity Preparations Assisted By Conversational Ai, Mohammed El-Hakim, Haitham Khaled, Amr Fawzy, Robert Anthonappa

Research outputs 2022 to 2026

Introduction: Artificial intelligence is emerging in dental education, but its use in preclinical assessment remains limited. Large language models like ChatGPT^® V4.5 enable non-programmers to build AI models through real-time guidance, addressing the coding barrier. Aim: This study aims to empower clinician-led, low-cost, AI-driven assessment models in preclinical restorative dentistry and to evaluate the technical feasibility of using a neural network to score 3D cavity preparations. Methods: Twenty mandibular molars (tooth 46), each with two carious lesions, were prepared and scored by two expert examiners using a 20-point rubric. The teeth were scanned with a Medit i700^® and …

Nirfasterff: An Accessible, Cross-Platform Python Package For Fast Photon Modeling, Jiaming Cao, Samuel Montero-Hernandez, Rickson C Mesquita, Adam T Eggebrecht, Hamid Dehghani

2020-Current year OA Pubs

SIGNIFICANCE: Accurate and efficient photon modeling plays an essential role in the rapidly developing field of diffuse optical imaging, whereby the use of model-based analysis and image reconstruction can provide both educational and research benefits.

AIM: NIRFASTerFF is a cross-platform (Linux, macOS, and Windows) Python package for finite element method (FEM)-based light propagation modeling, supporting continuous-wave, frequency-domain, and time-resolved data for both exogenous and endogenous optical imaging applications. It also enables modeling of the autocorrelation function (

APPROACH: NIRFASTerFF incorporates highly parallelized FEM solvers for efficient computation on both CPU and GPU, leveraging OpenMP and CUDA acceleration. To support image …

Concerns Regarding The Standard Deviation Of Individual Responses For Assessing Treatment Response Heterogeneity, Aaron R Caldwell, David B Allison, Andrew W Brown, Gary L Gadbury, Thirupathi Reddy Mokalla, R Drew Sayer, Andrew D Vigotsky

Children’s Nutrition Research Center Staff Publications

The estimation of treatment response heterogeneity (TRH) is increasingly important as medicine moves toward personalized approaches. While various statistical methods have been proposed to quantify TRH in parallel-group trials, the standard deviation of individual responses (SDIR) has gained prominence within physiological research. This method is intended to quantify individual response variation by comparing standard deviations of change scores between intervention and control groups. We acknowledge that SDIR represents an improvement over many other flawed approaches that often involve responder counting. However, SDIR has critical limitations: 1) it cannot overcome the fundamental problem of causal inference because the correlation between potential …

Women’S Unique Health Needs And The Sustainable Development Goals: A Meeting Report From The 79th United Nations General Assembly Science Summit, Irene Aninye, Sarah Chew, Nicole Althaus, Michele Barry, Ru-Fong Cheng, Carolyn Harris, Eleanor Nwadinobi, Beth Battaglino, Aisha Brooks, Marleen Temmerman

Centre of Excellence in Women and Child Health

Biological sex, hormones, and gender uniquely affect health and disease, often resulting in disparities for women across the lifespan and from different racial and ethnic groups, geographical locations, and socioeconomic backgrounds. Without intentional investment and infrastructure to support good health and wellbeing for women, half of the world’s population remains vulnerable to preventable morbidity and mortality. The Society for Women’s Health Research and ECHAlliance–The Global Health Connector convened a women’s health program as part of the 10th Annual Science Summit during the United Nations 79th General Assembly. This hybrid event was held in New York, NY, (USA) and virtually in …

Substituted Piperidines As (Alpha4)3(Beta2)2 Nicotinic Acetylcholine Receptor Positive Allosteric Modulators: In Vitro Pharmacology, Nataly Sanchez, Josue Gaona, Wilder Felix, Nathalia Menegasso, Brisa Cea, Ganesh Thakur, Ayman K. Hamouda

School of Medicine Student Publications and Presentations

Nicotinic acetylcholine receptors (nAChRs) play a crucial role in the pathogenesis of neurodegenerative diseases such as Parkinsonʼs disease (PD). In PD, degeneration of dopaminergic and cholinergic neurons impairs neurotransmitter release, leading to cognitive and motor dysfunction. Current treatments provide only symptomatic relief, highlighting the need for novel therapeutic strategies. The (α4)₃(β2)₂ subtype of nAChRs is expressed on affected neurons, making it a promising druggable target for enhancing neurotransmitter release and providing neuroprotection. To explore the therapeutic potential of positive allosteric modulators (PAMs) of (α4)₃(β2)₂ nAChRs, we evaluated chemical derivatives of CMPI [3-(2-chlorophenyl)-5-(5-methyl-1-(piperidin-4-yl)-1H-pyrazol-4-yl)isoxazole]. We used two-electrode voltage-clamp recordings from Xenopus laevis …

Probabilistic Template Matching For Detecting Resting-State Functional Mri Language Network In Brain Tumor Patients, Jian Ming Teo, Vinodh A Kumar, Alexander M Khalaf, Kyle R Noll, Sherise D Ferguson, Chibawanye I Ene, Sujit S Prabhu, Max Wintermark, Ho-Ling Liu

Faculty, Staff and Student Publications

Background: Intersubject variation among patients with brain tumors complicates the template matching process for detecting the resting-state (rs) functional MRI (fMRI) language network when using independent component analysis (ICA).

Purpose: This study aimed to develop methods that use a probabilistic language atlas to incorporate intersubject variation in brain tumor patients into the template matching process.

Methods: This retrospective study included 79 patients with brain tumors (average age, 50 ± 15 years) who underwent presurgical task-based (tb)-fMRI and rs-fMRI at clinical 3T scanners. At varying template generation thresholds (τ), binary and probabilistic templates were obtained from the language atlas. A binary …

Spatio-Temporal Dynamics Of Malaria Vector Niche Overlaps In Africa, Eric Ali Ibrahim, John Odindi, Mark Wamalwa, Henri E.Z. Tonnang

All Peer-Reviewed Publications

Malaria remains a significant public health challenge in sub-Saharan Africa, with transmission heightened by the dynamics of primary and secondary mosquitoes infected with Plasmodium parasites. Regions where both vector types co-exist face heightened likelihood of intensified malaria transmission. Hence, understanding vectors' ecological interactions, especially their niche overlaps in geographic or environmental space, is crucial for targeted malaria control and elimination strategies. We employed a dynamic cellular automata (CA) model to map niche overlaps among primary (Anopheles gambiae complex, An. funestus group) and secondary (An. pharoensis, An. coustani) malaria vectors across African, using open-access environmental and vector occurrence datasets sourced from …

Climate-Driven Potential For Tularemia In East Africa: Skill Testing And Ecological Consistency Of A Transferred Risk Model, Komi Mensah Agboka, Allan Muohi Ngángá, Bonoukpoè Mawuko Sokame, Steve Soh Bernard Baleba, Tobias Landmann, Elfatih M. Abdel-Rahman, Chrysantus M. Tanga, Souleymane Diallo

All Peer-Reviewed Publications

Tularemia, a neglected zoonosis, remains underreported in Africa despite growing concern over its climate-driven expansion. This study aims to quantify the specific contribution of climate to tularemia risk using a climate attribution framework. We trained a Least Squares Dummy Variable (LSDV) fixed-effects panel model on United States (U.S.) county-level tularemia incidence data from 2011–2020 (n = 500, R² = 0.90), incorporating only climatic predictors: cumulative temperature, cumulative precipitation, and their respective variabilities. The climate-only model explained 86% of variance in the training data, demonstrating strong climate influence on tularemia disease dynamics. We then applied the model to East Africa, using …

Dysregulated Mitochondrial Energy Metabolism Drives The Progression Of Mucosal Field Effects To Invasive Bladder Cancer, Sangkyou Lee, Sung Yun Jung, Pawel Kuś, Jolanta Bondaruk, June Goo Lee, Roman Jaksik, Nagireddy Putluri, Khanh N Dinh, David Cogdell, Huiqin Chen, Yishan Wang, Jiansong Chen, Neema Navai, Colin Dinney, Cathy Mendelsohn, David Mcconkey, Richard R Behringer, Charles C Guo, Peng Wei, Marek Kimmel, Bogdan Czerniak

Faculty, Staff and Students Publications

Multiplatform mutational and gene expression profiling complemented with proteomic and metabolomic spatial mapping were used on the whole-organ scale to identify the molecular profile of bladder cancer evolution from field effects. Analysis of the mutational landscape identified three types of mutations, referred to as α, β, and γ. Time modeling of the mutations revealed that carcinogenesis may span 30 years and can be divided into dormant and progressive phases. The α mutations developed in the dormant phase. The progressive phase lasted 5 years and was signified by expanding β mutations, but it was driven to invasive cancer by γ mutations. …

Gregor: Accelerating Genomics For Rare Diseases, Moez Dawood, Ben Heavner, Marsha M Wheeler, Rachel A Ungar, Jonathan Lotempio, Laurens Wiel, Seth Berger, Jonathan A Bernstein, Jessica X Chong, Emmanuèle C Délot, Evan E Eichler, James R Lupski, Ali Shojaie, Michael E Talkowski, Alex H Wagner, Chia-Lin Wei, Christopher Wellington, Matthew T Wheeler, Gregor Partner Members, Claudia M B Carvalho, Richard A Gibbs, Casey A Gifford, Susanne May, Danny E Miller, Heidi L Rehm, Kaitlin E Samocha, Fritz J Sedlazeck, Eric Vilain, Anne O'Donnell-Luria, Jennifer E Posey, Lisa H Chadwick, Michael J Bamshad, Stephen B Montgomery, Genomics Research To Elucidate The Genetics Of Rare Diseases (Gregor) Consortium

Faculty, Staff and Students Publications

Rare diseases are collectively common, affecting approximately 1 in 20 individuals worldwide. In recent years, rapid progress has been made in rare disease diagnostics due to advances in next-generation sequencing, development of new computational and functional genomics approaches to prioritize genes and variants and increased global sharing of clinical and genetic data. However, more than half of individuals suspected to have a rare disease lack a genetic diagnosis. The Genomics Research to Elucidate the Genetics of Rare Diseases (GREGoR) Consortium was initiated to study thousands of challenging rare disease cases and families and apply, standardize and evaluate emerging genomics technologies …

Information Theory Analysis Of Ctx Shows Consistent Clinical Presentation, Jennifer Hanson, Penelope E Bonnen

Faculty, Staff and Students Publications

Cerebrotendinous xanthomatosis (CTX) is a rare, metabolic disorder caused by pathogenic variants in CYP27A1. The classic clinical presentation includes infantile-onset chronic diarrhea, juvenile-onset bilateral cataracts, with development of tendon xanthomas and progressive neurological dysfunction. These multisystem clinical features typically appear in different decades of life often confounding diagnosis of CTX. Further complicating diagnosis is the generally held belief that the clinical presentation of CTX varies highly between individuals and even within families. We applied information theory analyses to CTX patient data to quantitatively assess clinical variability in CTX. We conducted a systematic review of the literature to identify all CTX …

Causal Predictive Modeling Of Survival Of Lung And Bronchus Cancer Patients Diagnosed During 2010–2011 In Texas, Zeinab Mohamed, Sidketa Fofana, Everardo Cobos, Manish K. Tripathi, Tamer Oraby

School of Mathematical & Statistical Sciences Faculty Publications

Background: Lung and Bronchus cancer is the most fatal type of cancer in the United States. According to the American Cancer Society, there were more than 127,000 deaths from lung cancer in 2023. Lung cancer care cost 23.8 billion dollars in 2020. In Texas, only 22.8% of lung cancer patients survived 5 years or more past diagnosis based on 2012-2018 data.

Aim: This study evaluates the survival length of lung and bronchus cancer patients in Texas using advanced statistical and machine learning methods applied to an 11-year cohort study from Surveillance, Epidemiology, and End Results Program. It also quantifies the …

The Link Between Depression And Bone Fractures In Rural Regions, Blake C. Martin, Kristina Vatcheva, Bharathi Gadad, Kelsey Baker

School of Medicine Publications

The prevalence of depression has increased throughout the 21st century. Recent evidence has suggested that depression may be linked with changes in bone health. In this descriptive study, we sought to evaluate the connection between depression and bone fractures to increase awareness and enable possible improvement in the prevention of bone fractures in medically underserved areas such as the Rio Grande Valley (RGV). We conducted a retrospective chart review of electronic medical records within the University of Texas Health RGV database from 2019 to 2022. We analyzed medical records and separated charts into groups that had: a dual diagnosis of …

The Key To Acquiring The Language Of Law, Science, And Technology In The Esl College Classroom, Patricia George-Hunter

Journal of English Learner Education

Since vocabulary plays a significant role in second language acquisition, expansive vocabulary targets should be set and pursued. This paper explores the results of introducing affixes to develop vocabulary and increase motivation for beginner to intermediate-level English language learners (ELLs) pursuing academic disciplines in law, science, and technology at a New York City community college. Participants included 23 ELLs with diverse linguistic, educational, and sociocultural backgrounds enrolled in an online synchronous Integrative Language Seminar (ILS) designed to develop all areas of English language proficiency. Pre‑, post‑, delayed tests, questionnaires, and post‑intervention interviews were conducted and analyzed to establish the language …

Mental Health Awareness For Teachers: A Review Of The Literature, Jerry Burkett

Journal of Educational Leadership in Action

Mental health is a state of wellbeing in which an individual realizes their abilities and can cope with the normal stresses of life (Bohare & Tiwari, 2020). These individuals are productive in their work, life, and communities. These people can manage their mental health challenges which can range from high to low (MHFA, 2020). Research is showing a growing need for expanding mental health support in K-12 schools. Schools are in a unique position to address today’s mental health crisis among members of the education community. (Mcluckie et al., 2014; National Association of School Psychologists, 2015; Ormiston et al., 2021). …

Mosquito Classification And Explainability From Image Data Via Deep Learning Techniques, Farhat Binte Azam

USF Tampa Graduate Theses and Dissertations

According to the World Health Organization (WHO), mosquitoes are the deadliest animals on Earth, responsible for more human deaths annually than any other species. Mosquito-borne illnesses continue to pose severe risks to global health. In 2015 alone, there were an estimated 214 million malaria cases worldwide. Similarly, a 2016 report from the Centers for Disease Control and Prevention (CDC) revealed that Puerto Rico’s Department of Health received over 62,500 suspected cases of Zika, with 29,345 confirmed positive cases. In 2019, Southeast Asia experienced its worst dengue outbreak in recorded history. Of the approximately 4,500 mosquito species distributed across 34 genera, …

Short Term Hemodynamic Effects Of Atrial Fibrillation In A Closed-Loop Human Cardiac-Baroreflex System, Oluwasanmi Adeodu, Michelle Gee, Babak Mahmoudi, Rajanikanth Vadigepalli, Mayuresh V. Kothare

Department of Pathology, Anatomy, and Cell Biology Faculty Papers

Atrial fibrillation (AF) remains the leading cardiac cause of stroke and AF-related death rate in the United States has been increasing for over twenty years. While the effect of standalone AF on heart rate is well established, there is a lack of clarity on its impact on other critical hemodynamic metrics. This is ostensibly due to interaction with other common comorbidities, especially hypertension. In addition, AF has a complex relationship with the state of the baroreflex. Evidence indicates that baroreflex sensitivity (BRS), the ability of the intrinsic cardiac control system to initiate parasympathetic response, is suppressed during AF. Therefore, a …

10.27.2025 Ored Connect, Liz Williamson

ORED Newsletter

ORED Field Fest

OTC Director Candidates

A Novel Approach To Calculating Expected Total Fetal Lung Volume In Fetuses With Isolated Congenital Diaphragmatic Hernia And Fetal Growth Restriction: A Theoretical Computational Simulation, Morcos Hanna, Jonathan Davies, Amaryllis Fernandes, Pamela M Ketwaroo, Amy R Mehollin-Ray, Roopali Donepudi, Alice King, Joseph Hagan, Sundeep G Keswani, Sharada H Gowda, Caraciolo J Fernandes

Faculty, Staff and Students Publications

Objectives: Congenital diaphragmatic hernia (CDH) often coexists with fetal growth restriction (FGR). The observed-to-expected (O/E) total fetal lung volume (TFLV) is used to assess CDH severity, predict outcomes, and direct fetal interventions. Expected TFLV measurements traditionally rely only on gestation age (GA). This simulation assesses how incorporating weight-adjusted GA norms affects O/E TFLV calculations in patients with isolated CDH and FGR.

Methods: A simulated dataset (n=1,005) utilized published mean fetal weight and TFLV references. Computer-generated variables included observed weights (3rd-10th %ile), O/E TFLV (10-65 %), and percent liver herniation (0-42 %). GA estimates were corrected by weight and used to …

The Role Of Artificial Intelligence In Enhancing Public Awareness And Communication On Indoor Radon Risk, Margarita Kuqali, Ylli Kaçiu, Gazmend Nafezi, Frank Holzwarth

UBT International Conference

Radon is a naturally occurring radioactive gas and the second leading cause of lung cancer, particularly among non-smokers. Despite its health risks, public awareness of indoor radon exposure remains low in many countries, including Kosovo. Traditional risk communication often struggles to engage diverse populations or adapt to modern digital habits. This paper explores the potential of artificial intelligence (AI) to enhance radon awareness through intelligent communication tools. Natural language processing (NLP) and AI-powered chatbots can deliver instant, personalized, and accessible information tailored to different languages, literacy levels, and cultural contexts. Additionally, sentiment analysis of social media can detect misconceptions and …

International Conference On Applied Medicine Nursing, University For Business And Technology (Ubt) In Kosovo

UBT International Conference

UBT Annual International Conference is the 14th international interdisciplinary peer reviewed conference which publishes works of the scientists as well as practitioners in the area where UBT is active in Education, Research and Development. The UBT aims to implement an integrated strategy to establish itself as an internationally competitive, research-intensive university, committed to the transfer of knowledge and the provision of a world-class education to the most talented students from all background. The main perspective of the conference is to connect the scientists and practitioners from different disciplines in the same place and make them be aware of the recent …

14th International Conference On Business, Technology And Innovation 2025, University For Business And Technology - Ubt

UBT International Conference

Welcome to IC – UBT 2025

UBT Annual International Conference is the 14th international interdisciplinary peer reviewed conference which publishes works of the scientists as well as practitioners in the area where UBT is active in Education, Research and Development. The UBT aims to implement an integrated strategy to establish itself as an internationally competitive, research-intensive university, committed to the transfer of knowledge and the provision of a world-class education to the most talented students from all background. The main perspective of the conference is to connect the scientists and practitioners from different disciplines in the same place and make …

Perfusion Assessment In Ceus Imaging For Estimating Pancreatic Cancer Response To Sonoporation-Enhanced Chemotherapy., Omri Adler, Priscilla Machado, Trang Vu, Flemming Forsberg, Odd Helge Gilja, Dan Adam

Department of Radiology Faculty Papers

Accurate assessment of perfusion in vital organs like the pancreas is crucial for monitoring various pathologies, particularly tumors and their growth. While tumor growth inhibition usually results in decreased vascularization, current techniques for non-invasive and cost-effective perfusion assessment lack sufficient vessel separability for pancreatic applications, hindering optimal treatment selection and monitoring. Ultrasound (US) imaging offers advantages like low cost, rapid acquisition, non-invasiveness, and non-ionizing radiation. However, speckle, patient-related and acquisition-related motion artifacts, and limitations in distinguishing contrast-enhanced blood vessels, particularly in single frames, pose significant challenges. This study presents a novel solution utilizing image analysis of US contrast agents (UCAs) …

The Future Of Nursing Leadership: Incorporating E-Learned Artificial Intelligence (Ai) Pathways With A Precautionary Focus Of Patient-Centered-Care, Jamie Anne Marcus Dr, Bonnette Villalba Webb

FDLA Journal

Artificial Intelligence (AI) is a data-driven mathematical process that incorporates machine-based-logic, usually in the form of algorithms. Education, training, and competencies are now conducted through virtual reality, robotics, simulation, and technology learning-based-platforms by healthcare organizations. This represents a significant change in the future of nursing practice. The adaptability of technology-based-learning platforms can impact the quality and efficiency of learning for some of the workforce population. Nurses' perception of technology and AI-driven nursing practice may vary based on generational orientation and can be a potential barrier to learning, practicing, and adaptability of this framework. The forging of well-trained resilient nurse leaders …

Global Impact Of Covid-19 Pandemic On Higher Education In Physiology, Sean Mahajan, Santanu De

FDLA Journal

The Coronavirus Infectious Disease 2019 (COVID-19) pandemic disrupted the higher education sector worldwide in several disciplines, especially those in healthcare as well as science, technology, engineering, and mathematics (STEM) that require active, experiential learning via practical application of concepts centered around physiology. Dynamic instructional and technological interventions took place rapidly in an effort to minimize the adverse repercussions of moving away from traditional means of education in these critical scientific fields. COVID-19 necessitated administrators, faculty, students, and interns at colleges, universities, medical/healthcare science programs and residencies to pursue teaching, learning, and assessment of physiology courses/curricula through innovative strategies without compromising …

Influence Of The Covid-19 Pandemic On Anatomy Higher Education Around The World, Sneh Patel, Santanu De

FDLA Journal

The Coronavirus Infectious Disease 2019 (COVID-19) disrupted the higher education sector worldwide in several disciplines, especially those in healthcare as well as science, technology, engineering, and mathematics (STEM) that require active, experiential learning via practical application of concepts centering around anatomy. Dynamic instructional and technological interventions took place rapidly in an effort to minimize the adverse repercussions of moving away from traditional means of education in these critical scientific fields. COVID-19 necessitated administrators, faculty, students, and interns at colleges, universities, medical/ healthcare science programs and residencies to pursue teaching, learning, and assessment of anatomy courses/curricula through innovative strategies without compromising …

2025 Celebration Of Scholarship, Creativity, And Engagement, Todd Bruns, Jaime Pedigo, Jennifer Smith, Patty Watson, Heather Wohltman, Amanda Wolf

Programs

Each year, Eastern Illinois University proudly recognizes the outstanding achievements of our faculty in research, creativity, and engagement. This collection of accomplishments reflects the dedication of an engaged faculty committed to excellence and the continual pursuit of knowledge. Many of these successes were made possible through meaningful collaboration with our students, who contribute as co-authors, research assistants, and partners in bringing ideas to life. Some of these professional milestones represent years of effort, demonstrating remarkable persistence and determination. We offer our heartfelt congratulations on this wide range of achievements, which bring distinction to our departments, colleges, and the University as …

Enhancing Cyberattack Resiliency Through The Radiotherapy Backup And Recovery Dashboard Tool, Justin Pijanowski, Eric Nguyen, Yasin Abdulkadir, Justin Hink, Yevgeniy Vinogradskiy, James Lamb

Department of Radiation Oncology Faculty Papers

PURPOSE: Radiation Oncology departments impacted by recent cyberattacks were unable to access data backups or their Record and Verify (R&V) system and therefore faced challenges to resume patient treatments in a timely manner. We present a novel software tool that backs-up critical radiotherapy treatment information and displays essential information for on-treatment patients in an intuitive and accessible dashboard allowing clinics to continue radiotherapy treatments. The purpose of this report is to describe implementation details, challenges, and share open-source code to facilitate radiation oncology clinics' efforts to develop tools to improve cyberattack resiliency.

METHODS: The Radiotherapy Backup and Recovery Dashboard Tool …

Adverse Childhood Experiences, Positive Childhood Experiences, And Digital Media Use Among Children And Adolescents In The United States, Elizabeth L. Crouch, Emma Boswell, Monique J. Brown Ph.D., Kevin J. Bennett

Publications

No abstract provided.

Inferred Global Dense Residue Transition Graphs From Primary Structure Sequences Enable Protein Interaction Prediction Via Directed Graph Convolutional Neural Networks, Islam A. Ebeid, Haoteng Tang, Pengfei Gu

Computer Science Faculty Publications

Introduction: Accurate prediction of protein-protein interactions (PPIs) is crucial for understanding cellular functions and advancing the development of drugs. While existing in-silico methods leverage direct sequence embeddings from Protein Language Models (PLMs) or apply Graph Neural Networks (GNNs) to 3D protein structures, the main focus of this study is to investigate less computationally intensive alternatives. This work introduces a novel framework for the downstream task of PPI prediction via link prediction.

Methods: We introduce a two-stage graph representation learning framework, ProtGram-DirectGCN. First, we developed ProtGram, a novel approach that models a protein's primary structure as a hierarchy of …