Digital Commons Network^™

Network Analysis Of Headache Diagnoses Using International Classification Of Headache Disorders, 3rd Edition, Pengfei Zhang, Thomas Berk

College of Nursing Faculty Papers & Presentations

BACKGROUND AND OBJECTIVE: The International Classification of Headache Disorders, Third Edition (ICHD-3), significantly influences clinicians' understanding of headache disorders. In this study, we aim to elucidate how the hierarchical structure of ICHD-3 shapes the understanding of interconnectivity among headache disorders.

METHODS: A network comprises elements known as "nodes," with the connections between them referred to as "edges." In our study, a node represents a headache diagnosis that meets at least one ICHD-3 diagnostic criterion of the ICHD-3. We developed two network models for ICHD-3: a non-hierarchical model, where edges are only formed by cross-references found within the text of diagnoses, …

Diverse Roles Of Antibodies In Antibody-Drug Conjugates, Aiko Yamaguchi, H Charles Manning

Faculty, Staff and Student Publications

The emergence of antibody-drug conjugates (ADCs) has transformed the treatment landscape of a variety of cancers. ADCs typically consist of three main components: monoclonal antibody, chemical linker, and cytotoxic payload. These integrated therapeutic modalities harness the benefits of each component to provide a therapeutic response that cannot be achieved by conventional chemotherapy. Antibodies play roles in determining tumor specificity through target-mediated uptake, prolonging the circulation half-life of cytotoxic payloads, and providing additional mechanisms of action inherent to the original antibody, thus significantly contributing to the overall performance of ADCs. However, ADCs have unique safety concerns, such as drug-induced adverse events …

Ai-Integrated Cross-Disciplinary Liberal Arts Colloquium, Diana S. Perdue, Niloofar Gholamrezaei, Jennifer Krusinger, Shannon Hogan

Teaching Repository of AI-Infused Learning

What began organically as an AI-focused collaboration between faculty in different disciplines along with researchers in the college’s Center for Instructional Innovation, has evolved into college-wide pedagogical workshops and the development of a studio model that affects courses, programs, and paradigms for faculty scholarship.

Lessons from these collaborations inform understandings of how key features of liberal arts education can be supported through intentional AI-integration within a Cross-Disciplinary Liberal Arts Colloquium. More specifically, this colloquium offers recommendations on adapting a collaborative, interdisciplinary, and reflective studio model to in-person, online, and hybrid educational environments facilitated through a Technological Pedagogical Content Knowledge (TPACK) …

Uncovering Acoustic Biomarkers To Classify Parkinson Disease Through Machine Learning, Felix Yeboah

Data Science and Data Mining

The early detection of diseases profoundly influences treatment efficacy, and accurate classification methodologies are essential for effective disease identification. In this project, we examined fve different classifers—Logistic Regression, Gaussian Naive Bayes, K Nearest Neighbor (KNN), Extreme Gradient Boosting (XGBoost), and Support Vector Machines—and evaluated their performance in detecting Parkinson’s disease (PD) based on voice features. The study aims to identify the best classifier for detecting PD. XGBoost performed the best, with an accuracy of 91% on the full dataset. After variable selection, KNN had the best performance with an accuracy of 91%. These findings suggest that Machine learning algorithms(classifiers) can …

Deep Learning-Based Auto-Segmentation For Liver Yttrium-90 Selective Internal Radiation Therapy, Jun Li, Wookjin Choi, Rani Anne

Department of Radiation Oncology Faculty Papers

The aim was to evaluate a deep learning-based auto-segmentation method for liver delineation in Y-90 selective internal radiation therapy (SIRT). A deep learning (DL)-based liver segmentation model using the U-Net3D architecture was built. Auto-segmentation of the liver was tested in CT images of SIRT patients. DL auto-segmented liver contours were evaluated against physician manually-delineated contours. Dice similarity coefficient (DSC) and mean distance to agreement (MDA) were calculated. The DL-model-generated contours were compared with the contours generated using an Atlas-based method. Ratio of volume (RV, the ratio of DL-model auto-segmented liver volume to manually-delineated liver volume), and ratio of activity (RA, …

A Morphometric Signature To Identify Ductal Carcinoma In Situ With A Low Risk Of Progression, Marcelo Sobral-Leite, Simon P Castillo, Shiva Vonk, Hendrik A Messal, Xenia Melillo, Noomie Lam, Brandi De Bruijn, Yeman B Hagos, Myrna Van Den Bos, Joyce Sanders, Mathilde Almekinders, Lindy L Visser, Emma J Groen, Petra Kristel, Caner Ercan, Leyla Azarang, Jacco Van Rheenen, E Shelley Hwang, Yinyin Yuan, Renee Menezes, Esther H Lips, Jelle Wesseling

Faculty, Staff and Student Publications

Ductal carcinoma in situ (DCIS) may progress to ipsilateral invasive breast cancer (iIBC), but often never will. Because DCIS is treated as early breast cancer, many women with harmless DCIS face overtreatment. To identify features associated with progression, we developed an artificial intelligence-based DCIS morphometric analysis pipeline (AIDmap) on hematoxylin-eosin-stained (H&E) tissue sections. We analyzed 689 digitized H&Es of pure primary DCIS of which 226 were diagnosed with subsequent iIBC and 463 were not. The distribution of 15 duct morphological measurements was summarized in 55 morphometric variables. A ridge regression classifier with cross validation predicted 5-years-free of iIBC with an …

Challenges And Opportunities In The Dissemination Of Scientific Content: Insights From Media Professionals In Jordan, Ruba Mustafa Mohammad, Mahmoud Ahmad Al-Rajabi, Hala Nabil Amr

Middle East Journal of Communication Studies

This study explored the challenges and opportunities in disseminating scientific content from the perspective of media experts in Jordan. Using a descriptive methodology and a questionnaire, the research aimed to understand the landscape better. The sample included 343 media experts holding master's degrees or higher in various media fields, along with several journalists actively working in the sector. The study revealed several key findings. Chief among them are the numerous obstacles hindering the dissemination of scientific content in Jordanian media. These include a lack of training for journalists on accessing new scientific information, a general absence of critical thinking skills …

The Degree Of Dependence Of The Jordanian Public On Social Media In Health Awareness Of Obesity Diseases (Survey Study), Jumana Irshiedat, Kamel Khurshid Murad

Middle East Journal of Communication Studies

The article aimed to reveal the dependency of social media platforms in educating the Jordanian public about obesity diseases and explore the cognitive, emotional, and behavioral effects on the Jordanian public. The survey method was adopted; an approach used in descriptive studies, and the questionnaire tool was used to a sample (357) of the Jordanian public in Amman. The study-produced results including the platform most used by the Jordanian public to receive knowledge about health awareness is WhatsApp in the first place, followed by Instagram and then Facebook. The results also showed that the health topics of most interest to …

The Energy Transition In The Jordanian Media, Hanan Al-Shiekh

Middle East Journal of Communication Studies

The study aimed to clarify the role of scientific journalism towards stimulating investment in environmentally friendly renewable energy sources, which is one of the necessary challenges facing the Kingdom of Jordan for economic growth and social development, due to its heavy dependence on energy imports, which reflects negatively on the Jordanian economy. This study is one of the descriptive studies that focuses on describing a specific topic, as it is in the current reality, in terms of its general and detailed characteristics, including variables, elements, relationships, and influences, which are among the most prominent features of scientific journalism in terms …

The Role Of Television In Increasing Knowledge About Health Issues Among Jordanian Citizens, Izzat Mohammad Hijab, Ahmad Oreqat, Hani Al-Badri

Middle East Journal of Communication Studies

This study explores the role of TV health programs in increasing the knowledge of Jordanian citizens about health issues. The study was based on the social survey methodology through a questionnaire distributed to a sample of 200 people from the city of Amman watching Jordan Television (JTV) health programs. The researcher concluded the following; a high watching for health programs, and that the Jordanians watch health programs with their family at home. The study also confirmed that the Jordanian benefits from health programs provided by JTV, and these programs are important and essential in educating citizens in health issues. Finally, …

01.27.2025 Ored Connect, Liz Williamson

ORED Newsletter

Data Science for Addiction Research

UM research and related activities as a new presidential administration transition occurs

Immuno-Bioinformatics Study Of Secondary Metabolites From Watercress Nasturtium Officinale As Immunostimulant In Whiteleg Shrimp Litopenaeus Vannamei By Targeting Peroxinectin And Scavenger Receptor Class B, Qurrota A’Yunin, Muhaimin Rifa’I, Maftuch Maftuch, Yoga Dwi Jatmiko, Muhammad Hermawan Widyananda, Triyanto Triyanto, Muhammad Tegar Handrianto

Karbala International Journal of Modern Science

The viral disease affects the whiteleg shrimp (Litopenaeus vannamei) and causes losses. Immunostimulants are recognized as a more environmentally friendly approach to disease management and antimicrobial properties of aquatic organisms. Watercress (Nasturtium officinale) is an aquatic plant species that contains antioxidant properties that can protect the organism from disease and boost the immune system. Shrimp rely heavily on innate immunity to combat infectious agents due to their absence of adaptive immunity. Peroxinectin and scavenger receptor class B (SRB) play essential roles in the shrimp defense system. This research employs a bioinformatic to assess the immunostimulatory potential …

An Investigation Of Travel Distance And Timeliness Of Breast Cancer Treatment Among A Diverse Cohort In The United States, Swann Arp Adams, Oluwole Adeyemi Babatunde, Whitney Zahnd, Peiyin Hung, Karen E. Wickersham, Nathaniel Bell Ph.D., Jan M. Eberth Ph.D.

Publications

Travel to and from distant cancer treatment facilities can place a significant burden on cancer patients, particularly rural and minority survivors. Thus, the purpose of our investigation was to examine the association between patient travel distance and delays in types of treatment for breast cancer (surgery, radiation, chemotherapy, and hormonal therapy) and treatment delays. Using a novel linkage between the state cancer registry and administrative data from Medicaid and a private insurance plan, 2155 BC patients were successfully linked to create the cohort. ArcGIS was used to geocode all case residences and treatment facility addresses and calculate network distance between …

Ethnic Disparities In Hba1c And Hypoglycemia Among Youth With Type 1 Diabetes: Beyond Access To Technology, Social Deprivation And Mean Blood Glucose, J. Pemberton, Zhide Fang, Stuart Chalew, S. Uday

School of Public Health Faculty Publications

Introduction The UK national pediatric diabetes audit reports higher HbA1c for children and young people (CYP) with type 1 diabetes (T1D) of Black ethnicity compared with White counterparts. This is presumably related to higher mean blood glucose (MBG) due to lower socioeconomic status (SES) and less access to technology. We aimed to determine if HbA1c ethnic disparity persists after accounting for the above variables. Research design and methods A retrospective analysis of participants who received structured education in continuous glucose monitoring (CGM) use was conducted at a tertiary center. HbA1c was paired with glucose metrics from 90-day CGM data. The …

Perspectives On A Recently Merged Family Medicine Residency Program: A Post-Match Survey Of Ranked, Unmatched Applicants, John E. Snellings, Karo G. Ohanian, Ismail El Moudden

Eastern Virginia Medical Journal

Introduction: Residency program mergers are a topic of much consternation and relatively little scholarly investigation in graduate medical education. After undergoing a residency merger in July 2020, the newly formed Eastern Virginia Medical School (EVMS) Family Medicine Residency Program investigated the effects of the merger on the perspectives of the applicant pool for the subsequent 2020–2021 recruiting season. Methods: We conducted an anonymous survey of EVMS Family Medicine applicants during the 2020– 2021 recruiting season. Students who interviewed with the residency and were subsequently placed on the program’s National Residency Matching Program (NRMP) rank order list (ROL) but did not …

Pull Or Play? The Interpretation Of A Novel, Ai-Powered On-Field Decision Support Tool., Lynne Becker, Dafne Badilla, Osho Yonzon, Xiaoyu Wu, Roland Rocafort, Erik Viogan Phd, Devansh Manocha

Journal for Sports Neuroscience

The document titled "Pull or Play? The interpretation of a novel, AI-powered on-field decision support tool" explores the development and application of the Injury Impact Severity Score (IISS)™ for assessing traumatic brain injuries (TBIs), particularly in sports settings. It addresses the limitations of current assessment tools like the Glasgow Coma Scale (GCS) and proposes a more objective approach using patient-reported data and machine learning algorithms.

Key points include:

• Background: TBIs are a significant health concern with under-reported cases and a lack of effective research. Current assessment tools like the GCS have limitations in accuracy and speed, especially in dynamic …

A Deconvolution Framework That Uses Single-Cell Sequencing Plus A Small Benchmark Data Set For Accurate Analysis Of Cell Type Ratios In Complex Tissue Samples, Shuai Guo, Xiaoqian Liu, Xuesen Cheng, Yujie Jiang, Shuangxi Ji, Qingnan Liang, Andrew Koval, Yumei Li, Leah A Owen, Ivana K Kim, Ana Aparicio, Sanghoon Lee, Anil K Sood, Scott Kopetz, John Paul Shen, John N Weinstein, Margaret M Deangelis, Rui Chen, Wenyi Wang

Faculty, Staff and Student Publications

Bulk deconvolution with single-cell/nucleus RNA-seq data is critical for understanding heterogeneity in complex biological samples, yet the technological discrepancy across sequencing platforms limits deconvolution accuracy. To address this, we utilize an experimental design to match inter-platform biological signals, hence revealing the technological discrepancy, and then develop a deconvolution framework called DeMixSC using this well-matched, that is, benchmark, data. Built upon a novel weighted nonnegative least-squares framework, DeMixSC identifies and adjusts genes with high technological discrepancy and aligns the benchmark data with large patient cohorts of matched-tissue-type for large-scale deconvolution. Our results using two benchmark data sets of healthy retinas and …

Active Learning In Medical Education: A Brief Overview Of Its Benefits, Varuneshwar Parsad, Jeevan Divakaran

School of Medicine Publications

The traditional lecture-based model of medical education is increasingly being replaced by active learning methodologies that focus on interactive, student-centered approaches to enhance knowledge retention, clinical reasoning, and professional development. This brief review highlights the benefits of active learning techniques such as problem-based learning (PBL), team-based learning (TBL), case-based learning (CBL), and simulation-based learning (SBL) in medical education. These active learning methods promote a deeper understanding and application of medical knowledge, improve clinical reasoning, increase student engagement and motivation, and foster the development of interpersonal skills essential for healthcare practice. Furthermore, active learning bridges the gap between theoretical knowledge and …

Precision Data-Driven Modeling Of Cortical Dynamics Reveals Person-Specific Mechanisms Underpinning Brain Electrophysiology, Matthew F Singh, Todd S Braver, Michael Cole, Shinung Ching

2020-Current year OA Pubs

Task-free brain activity affords unique insight into the functional structure of brain network dynamics and has been used to identify neural markers of individual differences. In this work, we present an algorithmic optimization framework that directly inverts and parameterizes brain-wide dynamical-systems models involving hundreds of interacting neural populations, from single-subject M/EEG time-series recordings. This technique provides a powerful neurocomputational tool for interrogating mechanisms underlying individual brain dynamics ("precision brain models") and making quantitative predictions. We extensively validate the models' performance in forecasting future brain activity and predicting individual variability in key M/EEG metrics. Last, we demonstrate the power of our …

01.21.2025 Ored Connect, Liz Williamson

ORED Newsletter

SmartTech MS Advanced Manufacturing Prize

Mileage Rate Increases

Meth Mortality Rate Increases

Moud 2.0: A Clinical Algorithm And Implementation Evaluation Protocol For Sublingual And Injectable Buprenorphine Treatment Of Opioid Use Disorder, Brandon Joa, Eric Fung, Michael Weinstein, Lara Weinstein

Department of Family & Community Medicine Faculty Papers

BACKGROUND: Primary care is the initial contact point for most patients with opioid use disorder (OUD) but lacks tools for guiding treatment. Only a small fraction of patients access evidence-based care. Long-acting injectable buprenorphine has potential to improve medication adherence and program retention in low-barrier primary care treatment settings. We present the first clinical decision support algorithm incorporating long-acting buprenorphine (LAIB) in primary care. We include a protocol for a future evaluation of the algorithm's implementation process, "Medication for Opioid Use Disorder (MOUD) 2.0," at a housing and integrated care clinic at a Federally Qualified Health Center.

METHODS: Literature review …

Feasibility And Acceptability Of The Mazi Umntanakho Digital Tool In South African Settings: A Qualitative Evaluation, Catherine E. Draper, Caylee J. Cook, Elizabeth A. Ankrah, Jesus A. Beltran, Franceli L. Cibrian, Kimberley D. Lakes, Hanna Mofid, Lucretia Williams, Gillian R. Hayes

Engineering Faculty Articles and Research

To address the need for interventions targeting social emotional development and mental health of young children in South Africa, the Mazi Umntanakho (‘know your child’) digital tool was co-designed, and piloted with caregivers and 3–5-year-old children involved in home visiting programmes promoting early childhood development. The aim of this study was to qualitatively evaluate the feasibility and acceptability of this tool in four urban and four rural low-income communities, from the perspective of home visitors and caregivers. Focus groups were conducted with home visitors (n = 117) and caregivers (n = 72). Issues relating to the feasibility of …

Congenital Rickets, Melissa Intriago

Mako: NSU Undergraduate Student Journal

No abstract provided.

One Heart, One Vessel: Unraveling The Mystery Of Truncus Arteriosus, Claudette C. Artiles

Mako: NSU Undergraduate Student Journal

No abstract provided.

What’S New In Esophageal Atresia Treatment?, Alexandra N. Jimenez Gonzalez

Mako: NSU Undergraduate Student Journal

No abstract provided.

Evaluation Of A Guide To Accessing Accommodations During Medical School Created By And For Students With Disabilities, Nora Newcomb, Emily Coughlin, Zainub Dhanani, Kie Fujii, Lily Upp, Harika Kottakota, Rahul Mhaskar, Andrew Galligan

Journal of Science Education for Students with Disabilities

Medical students with disabilities constitute 7.6% of allopathic (MD) and 4.3% of osteopathic (DO) programs, and they are entitled to reasonable accommodation, per the Americans with Disabilities Act. However, research has demonstrated that disabled medical students often encounter barriers when accessing accommodations. In response to these barriers, Medical Students with Chronic Illness and Disability (MSDCI) National created the MSDCI Guide to Accessing Disability Accommodations During Undergraduate Medical Education (the Guide). We conducted a program evaluation to evaluate the efficacy of the Guide as a resource to the members of MSDCI, a program evaluation was conducted. A Qualtrics survey was distributed …

Artificial Intelligence For The Detection Of Acute Myeloid Leukemia From Microscopic Blood Images; A Systematic Review And Meta-Analysis, Feras Al-Obeidat, Wael Hafez, Asrar Rashid, Mahir Khalil Jallo, Munier Gador, Ivan Cherrez-Ojeda, Daniel (Centro De Investigación De Salud Pública Y Epidemiología Clínica Simancas-Racines, , Universidad Ute, Quito, Ecuador , Universidad Ute, Quito, Ecuador

All Works

Leukemia is the 11th most prevalent type of cancer worldwide, with acute myeloid leukemia (AML) being the most frequent malignant blood malignancy in adults. Microscopic blood tests are the most common methods for identifying leukemia subtypes. An automated optical image-processing system using artificial intelligence (AI) has recently been applied to facilitate clinical decision-making. To evaluate the performance of all AI-based approaches for the detection and diagnosis of acute myeloid leukemia (AML). Medical databases including PubMed, Web of Science, and Scopus were searched until December 2023. We used the “metafor” and “metagen” libraries in R to analyze the different models used …

Racial Disparities Of Type 2 Diabetes Through Exercise: The Multi-Ethnic Study Of Atherosclerosis, Tong Xia, Roch A. Nianogo, Qingzhao Yu, Tamara Horwich, Preethi Srikanthan, Kosuke Inoue, Matthew Allison, Zuo-Feng Zhang, Karol E. Watson, Liwei Chen

School of Public Health Faculty Publications

Introduction: Persistent racial and ethnic disparities exist for Type 2 diabetes in the U.S. Racial and ethnic minorities have a higher risk of Type 2 diabetes, and studies suggest that they engage in less exercise than White population. This study examined whether and to what degree racial differences in Type 2 diabetes were explained by exercise. Methods: Adults aged 45–84 years without Type 2 diabetes at baseline (2000–2002) were included from the Multi-Ethnic Study of Atherosclerosis cohort and followed through 2020. Associations between race and Type 2 diabetes were examined using multivariable Cox proportional hazard regression. The effects of exercise …

Empirically Validating A Computational Model Of Automatic Behavior Shaping, Vincent Berardi, Tian Lan, Ariane Guirguis, Uri Maoz

Psychology Faculty Articles and Research

Background

Mobile sensing technology allows automated behavior shaping routines to be incorporated into health behavior interventions and other settings. In previous work, a computational model was built to investigate how to best arrange automatic behavior shaping procedures, but the degree to which this model reflects actual human behavior is not known.

Purpose

To translate a previously developed computational model of automatic behavior shaping into an experimental setting.

Methods

Participants (n = 54) operated a computer mouse and attempted to locate a hidden, randomly-placed target circle on a blank computer screen and clicks within some threshold distance of the target …

An Academic Self-Regulation Program For First-Generation Students In Occupational Therapy: A Preexperimental Study, Pola Ham

The Open Journal of Occupational Therapy

First-generation students at U.S. universities have lower academic performance than their continuing-generation counterparts. They also have a lower level of academic self-regulation and academic self-efficacy. Bandura’s social cognition theory and Zimmerman’s self-regulation theory were used as theoretical frameworks to guide an intervention program relating to self-efficacy and self-regulation. A pretest and posttest survey measured changes in the participants’ use of the academic self-regulatory strategies and level of confidence in using those strategies. An open-ended questionnaire provided a detailed account of the participants’ lived experiences of the program. The researcher-facilitator designed an academic self-regulation program using Zimmerman’s (1998) self-regulated learning framework …