Digital Commons Network^™

Developing Scenario-Based Strategies For Health, Climate, And Environmental Preparedness: The One Health, One Earth Approach, Azar M Abadi, Kyle D Brumfield, Moiz Usmani, Gemma Jiang, T C Chakraborty, Yuzhou Wang, Zhijie Zhou, Cenlin He, Minghao Qiu, Jennifer D Stowell, Douglas Fritz, Sunil Kumar, Qiang Guo, Ying Xiong, Georgia Destouni, Qian Xiao, Xindi C Hu, Kelvin C Fong, Yun Hang, John Nielsen-Gammon, Rima Habre, Jennifer R Bratburd, Christopher W Tessum, Antarpreet Jutla, Rita R Colwell, Gabriel M Filippelli, Thanh H Nguyen

Faculty, Staff and Student Publications

Climate change amplifies many threats to human health. Despite advances in understanding climate change dynamics and impacts, there remains a critical gap in translating scientific knowledge into equitable, and community‐driven health interventions. The inaugural One Earth, One Health workshop sought to explore this gap through human‐centered design exercises involving interdisciplinary researchers from climate and Earth sciences, engineering, epidemiology, microbiology, and environmental health. Although participants did not co‐develop solutions with affected communities, they used stakeholder role‐playing to guide ideation and lay groundwork for actionable plans. Through these methods, participants identified community needs and proposed prototype solutions to alleviate health threats …

Patenting The Unexpected, Sean B. Seymore

Vanderbilt Law School Faculty Publications

Unexpected discoveries have transformed human existence. They’ve revolutionized science and spawned entire new fields of research. While unexpected discoveries seem inventive and worthy of patent protection, they don’t formally align with traditional patent theory. The bedrock principle that an invention begins with the conception of an idea in the inventor’s mind and ends with implementation doesn’t apply to unexpected discoveries. This misalignment is most acute for pharmaceuticals, where the discovery of new uses for old drugs has tremendous social and economic importance. Since a drug can inherently treat multiple conditions in a patient—even those unknown to the patient, doctor, or …

Affinity-Optimized Trop2 Antibodies Support Potent Antitumor Activity In Antibody-Drug Conjugates, Aiko Yamaguchi, Junping Hong, Leike Li, Kiyotaka Kobayashi, Chisato M Yamazaki, Summer Y Y Ha, Yasuaki Anami, Wei Xiong, Junquan Liu, Zhiqiang An, Ningyan Zhang, Kyoji Tsuchikama

The Brown Foundation: Institute of Molecular Medicine

Background: Trophoblast cell surface antigen 2 (TROP2) is frequently overexpressed in epithelial tumors and is associated with poor prognosis, making it an attractive therapeutic target. Antibody-drug conjugates (ADCs) directed against TROP2 show clinical benefit, but expression in normal tissues such as skin raises concerns about on-target, off-tumor toxicity. Strategies that improve antitumor efficacy without increasing toxicity are needed.

Methods: Using an in-house phage library, we identified and characterized a novel fully human monoclonal antibody recognizing a unique conformational epitope of TROP2 with reduced binding affinity. This antibody was engineered into homogeneous ADCs carrying auristatin and/or duocarmycin payloads. Comparative studies with …

Creation And Implementation Of Nature And Sensory Based Therapy Programming To Support The Health And Well-Being Of Catholic Dominican Sisters, Sydney Payne

Capstone Projects

As the older generation ages, diseases such as dementia can cause sensory processing systems to be less efficient. When they become less efficient, it can create confusion and undermine one’s sense of safety (Champagne, 2018 pg 29-30). Engaging in sensory experiences provides support for these deficits while fostering participation in everyday life activities (Champagne, 2018 pg 30). This capstone project included a sensory garden (nature-based therapy) and associated multi-sensory activities. This was done through creation of nature and sensory-based programming, implementation of this programming one-on-one with sisters, two group sensory, dementia-friendly activities, and formation of a sustainability binder. Occupational therapy …

Growing South Dakota (Spring 2026), College Of Agriculture, Food, And Environmental Sciences

Growing South Dakota (Publication of the College of Agriculture, Food and Environmental Sciences)

[Page] 2 National heritage, statewide research, local impact
[Page] 7 About the South Dakota Agricultural Experiment Stations
[Page] 14 Managing the mooo-ment: How SDSU researchers are looking to improve cow health during the Transition Period
[Page] 18 Discovering strength in science: How education through undergraduate research prepares students for the future
[Page] 20 From India to Brookings: One grad student’s path to make a world of difference in virology
[Page] 22 Solving a billion-dollar problem: Identifying disease-resistent wheat genes
[Page] 24 Unlocking manure’s potential: SDSU leads multistate study on the power of swine manure in growing better crops
[Page] 28 …

Implementing Hypertension Guidelines Into Clinical Practice, Misti Michele Mays

Electronic Theses and Dissertations

Hypertension is a complex chronic disease process, and it is essential to educate the patient on the disease process, as well as on all aspects of self-management. It is essential that providers choose an evidence-based guideline by which they will manage their hypertensive patients. In addition, providers must schedule regular follow-up appointments with their patients, along with a wide variety of other multifactorial components in regard to the management of patients diagnosed with hypertension. In addition, providers have a responsibility to stay informed on new approaches to blood pressure management by reviewing the professional literature on a regular basis. Much …

A Patient-Centric Chatbot For Improving Clinical Trial Accessibility, Yumeng Yang

Dissertations and Theses (Open Access)

Clinical trial enrollment remains a major challenge, and low accrual continues to delay study completion, increase research costs, and slow the development of new therapies. A barrier is the scale of the trial-matching problem: patients and clinicians must search through a large and growing number of studies, while each trial contains complex eligibility criteria that may overlap only partially with other trials. Although public registries such as ClinicalTrials.gov make trial information available, they do not adequately help patients identify which studies are most relevant to their clinical profile. This dissertation addresses that information problem by developing and evaluating a patient-centric …

Graph And Language Models For Biomedical Inference Across Networks And Text, Evan Yu

Dissertations and Theses (Open Access)

Biomedical research increasingly relies on large and heterogeneous data sources to support scientific inference. However, relevant evidence is often distributed across environments that differ substantially in structure, reliability, and scale. Biomedical evidence may be represented in relational networks that encode interactions among entities and in large-scale text corpora that contain unstructured knowledge and discourse. Developing computational approaches capable of extracting reliable and interpretable signals from these diverse data environments remains a central challenge. This dissertation investigates how graph and language models can support robust biomedical inference across three evidence environments: relational epidemiologic networks, large-scale social media discourse, and biomedical scientific …

Discovering Drug-Like Compounds By Targeting Protein-Protein Interactions Using A Yeast-3-Hybrid System, Chesley C. Blake

Senior Theses

Protein-protein interactions are important targets in cancer biology as they can make historically “undruggable” proteins viable drug targets. However, the current approach to targeting protein-protein interactions relies on the use of small molecule drugs, which have low efficiencies as they must cover a large surface area of the interaction. Further, traditional drug therapies often lead to off-target toxicity, limiting therapeutic specificity. The objective of this project is to develop a selection system in yeast to identify short peptide sequences that can disrupt protein-protein interactions specific to cancer cells. Following proof of principle and development of the AH109 yeast strain having …

Eating Disorder Prevention And Early Intervention In U.S. Higher Education – A Comparative Benchmarking Study, Jake R. Arcement

Senior Theses

Eating disorders (EDs), including anorexia nervosa, have the highest mortality rate of any psychiatric illness, yet remain underrecognized relative to their severity and treatment burden. Because the period of peak onset aligns with the college years, institutions of higher education are uniquely positioned to play an important role in prevention, early identification, and referral to specialized care. However, limited research has examined how colleges and universities structure ED prevention and treatment resources. This thesis applies a comparative benchmarking framework to assess current institutional practices across U.S. colleges and universities. A national survey of student health and counseling centers examined staffing, …

Using Artificial Intelligence Agents To Improve Identification Of Patients With Diabetic Retinopathy For Population Health Management, Mary H. Stanfill

Translational Projects (Open Access)

Population health management of patients in risk-adjusted payment plans requires new tools and techniques to control costs, enhance care, and ultimately improve patient outcomes. Effective population health management of risk-adjusted patients with complications of chronic conditions first requires identifying all the risk-adjusted patients with such complications, but common structured data sources in the electronic health record (EHR) to identify such patients are notoriously inaccurate. Thus, the mechanisms used today, based only on structured data to retrieve patients with complications of a chronic condition, are prone to problems. This makes current information retrieval (IR) approaches inadequate to support population health management …

Making Value Visible: A Translational Informatics Study Of Independent Primary Care, Julia Pulliam

Translational Projects (Open Access)

The transition to Value-Based Care (VBC) challenges independent rural primary care practices due to heavy administrative burdens, interoperability barriers, and a reliance on claims data that often undervalues care. This project aimed to improve clinical data reporting to Medicare Advantage Quality Incentive Programs (QIPs) at Oregon City Family Practice (OCFP). By focusing on colon cancer screening metrics, the project sought to demonstrate how automating semantic interoperability can accurately reflect care quality, reduce manual waste, and increase revenue. Guided by the Johns Hopkins Evidence-Based Practice (JHEBP) framework, Plan-Do Study-Act (PDSA) cycles were used to design a transition from manual reporting to …

Weight Loss And Chronic Rhinosinusitis In The Obese Population: Associations With Disease Risk And Burden, Zain Mehdi, Akshay R Prabhakar, Jagan M R Dwarampudi, Justina R Varghese, Heli Majeethia, Faizaan Khan, Roshan Dongre, Franklin M Wu, Aatin Dhanda, Sebastian Guadarrama-Sistos-Vazquez, Tania Banerjee, Renjie Hu, Amber U Luong, Dennis M Tang, Edward D Mccoul, Mohammad Chaaban, Masayoshi Takashima, Omar G Ahmed

Faculty, Staff and Student Publications

Objective: Obesity is associated with increased risk and severity of chronic rhinosinusitis (CRS), yet the impact of weight loss (WL) on CRS development and burden is not well defined. This study investigates whether weight reduction influences the likelihood of developing CRS and improves clinical outcomes among obese adults.

Methods: Retrospective cohort study using the NIH All of Us database. Obese adults (BMI ≥ 30) with complete demographics and follow-up were included. To assess CRS onset, patients were stratified into sequential WL cohorts and followed for 1 year. To assess CRS outcomes, patients who lost ≥ 5 BMI points were categorized …

Examining The Relationship Of Work Stressors And Resilience Among Inpatient Oncology Nurses: A Cross-Sectional Study:, Blanca Melida Vasquez-Clarfield

Theses & Dissertations

Burnout among inpatient oncology nurses remains a concern in a specialty marked by high patient acuity, complex care regimens, emotional intensity, and repeated exposure to suffering and death. Resilience is often discussed as a protective resource in nursing, yet less is known about how personal resilience and work resilience relate to work stress and burnout within inpatient oncology practice. This study examined the relationships among perceived work stress, personal resilience, work resilience, and burnout among registered nurses working in inpatient oncology units. It also explored whether selected nurse characteristics were associated with these variables and how nurses described workplace stressors, …

Electromyography, Prosthetic Properties, And Running Biomechanics In Recreationally Active Persons With Lower Extremity Amputation, Paige M. Agnew

Rehabilitation Sciences Theses & Dissertations

Lower extremity loss affects nearly 150,000 individuals in the United States yearly yielding extreme health care costs annually. Typically, prosthetic devices are prescribed for 5-8 years despite known changes to an individual’s gait as time progresses. Patients can expect to undergo approximately 8-12 weeks of gait retraining to improve their comfort and efficiency. Biomechanical changes occur when running with a specific running prosthetic including considerable biomechanical and neuromuscular interlimb asymmetries and alterations in loading patterns. The purpose of this dissertation was to investigate the biomechanical demands for lower extremity prosthesis users during running. The first study synthesized peer reviewed evidence …

Utilizing And Optimizing Forecasting Models For Nursing Demand: A Narrative Review, Kalpana Singh, Liyan Ajit D. Souza, Ananth Nazarene, Amane Mounia, Mahmoud Abdelwahab Khedr, Ahmad Mousa, Rebecca Rejo George, Abdulqadir J. Nahwan

Research outputs 2022 to 2026

Background: Accurately forecasting nursing demand is essential for effective workforce planning in the context of increasing patient volumes and the growing complexity of healthcare systems. Reliable forecasting supports optimal staffing, enhances patient care quality, and reduces operational risks. However, traditional forecasting approaches are increasingly challenged by evolving clinical demands, rising chronic disease burden, and rapid technological advancements. Aim: This narrative review aimed to (1) map existing models used for predicting nursing demand, (2) identify key predictive methodologies, data inputs, and evaluation metrics, and (3) highlight existing gaps and implications for healthcare policy and workforce management. Methods: A comprehensive narrative literature …

Abca4 Versus Prph2-Associated Retinopathy: Clinical And Electrophysiological Findings, Rachael C. Heath Jeffery, A. Thompson, Johnny Lo, Andrea L. Vincent, Minal Patil, Lorenzo Bianco, Maurizio Battaglia Parodi, Lucia Ziccardi, Carmen Dell’Aquila, Lucilla Barbano, Wei Chao Tang, Choi Mun Chan, Camiel J.F. Boon, Jonathan Hensman, Ta Ching Chen, Chien Yu Lin, Pei Lung Chen, Ajoy Vincent, Anupreet Tumber, Elise Heon, John R. Grigg, Robyn V. Jamieson, Elisa E. Cornish, Benjamin N. Nash, Jeremy Chou, Tina M. Lamey

Research outputs 2022 to 2026

Purpose. The purpose of this study was to characterize the clinical features, electrophysiology, and variant spectrum in ABCA4- and PRPH2-retinopathies and to identify novel electrodiagnostic biomarkers to differentiate between these two genotypes. Methods. We conducted an international multicenter case-control study of patients with a clinical and genetic diagnosis of ABCA4- or PRPH2-retinopathy. Age at symptom onset, best-corrected visual acuity (BCVA), electroretinography (ERG) components, and fundus autofluorescence (FAF) imaging were compared. Subgroup exploratory analysis was performed on those patients with a phenotype similar to central areolar choroidal dystrophy (“CACD-like”), those with flecks distributed throughout the posterior pole (“fleck-like”) and a healthy …

Education And Training In Water Operator Certification And Its Role In Water Utility System Performance, Heath A. Edelman

Educational Leadership & Workforce Development Theses & Dissertations

Access to safe and reliable drinking water is a foundational component of public health and environmental protection. The United States drinking water sector is highly regulated and increasingly challenged by workforce shortages, aging infrastructure, and variability in operator training requirements across states. Despite the federal mandate for operator certification under the Safe Drinking Water Act Amendments of 1996, empirical evidence on the effectiveness of certification policies in improving regulatory compliance outcomes remains limited.

This study examined the relationship between operator certification policies and drinking water compliance outcomes under the Safe Drinking Water Act, with particular attention to differences across violation …

Learning In Motion: How Small Groups Can Promote Self-Regulated Learning In Physical Therapy Students, Sara Mclaren

STEMPS Theses & Dissertations

Self-regulated learning (SRL) is a critical skill for success in rigorous graduate health professions programs, where students must independently manage complex academic demands. Despite its importance, limited research has examined SRL processes among Doctor of Physical Therapy (DPT) students in the didactic phase of training. Guided by Zimmerman’s cyclical model of self-regulated learning, this study examined SRL behaviors among second-year DPT students and explored how small group learning contexts may influence engagement in SRL processes and academic performance.

This mixed-methods study included 39 DPT students enrolled in a physical therapy program at a public university in the southeastern United States. …

Concerns Regarding The Efficacy Of Utilizing The Vibrational Response Of Aminocyanine Molecules To Near Infrared Light For Cancer Cell Destruction, Parsa Faghani-Eskandarkolaei, James Welsh, Seyed Ali Reza Mortazavi, Parmis Taghizadeh, Mobina Baramaki, Fatemeh Shams, Mohammed Nasir Abubakari, Seyed Mohammad Javad Mortazavi, Lembit Sihver

Informatics and Engineering Systems Faculty Publications

Recent advancements in cancer treatment have introduced the use of aminocyanine molecules, activated by near-infrared (NIR) light, to induce vibrational responses that can selectively destroy cancer cells. This commentary critically examines a study that reports a 99% efficacy of this method against human melanoma cells in vitro, and significant tumor reduction in murine models. While the findings are promising, our analysis highlights crucial oversights in the study’s implications for clinical applications. Specifically, the persistence of even a small fraction of cancer cells post-treatment poses significant risks for tumor regrowth and acquired resistance. Additionally, the study’s approach neglects the heterogeneity of …

A Critical Narrative Review Appraisal Of The 2025–2030 Dietary Guidelines: Scientific Strengths, Conceptual Gaps, And Overlooked Dimensions Of Sustainability And Health Equity, Dimitrios Papandreou, Azza Alsuwaidi, Zainab Taha, Constantinos Giaginis, Georgios K. Vasios, Eleni P. Andreou

All Works

The 2025–2030 Dietary Guidelines introduce an important shift in public health nutrition, emphasizing minimally processed foods, higher protein intake, greater inclusion of full-fat dairy, and a food-based advice centered on “real food” consumption. While several of these recommendations align with accumulating evidence, particularly the discouragement of ultra-processed foods and added sugars, substantial concerns remain regarding their internal coherence, population-level applicability, risk of misinterpretation, as well as environmental footprint. This critical narrative review evaluates whether the scope, emphasis, and framing of the new guideline components are proportionate to the strength, consistency, and context of the underlying evidence. Using a novel framework …

Dean's Update, April 2026, Neil W. Schluger

SOM Dean's Research Newsletter

No abstract provided.

Natural Language Generation In Healthcare: A Review Of Methods And Applications, Mengxian Lyu, Xiaohan Li, Ziyi Chen, Jinqian Pan, Cheng Peng, Sankalp Talankar, Yonghui Wu

Faculty, Staff and Student Publications

Objective: This study presents a systematic review of natural language generation (NLG) methods and applications in the medical domain, providing quantitative and qualitative analyses to answer four key research questions regarding methods, evaluation, applications, and challenges of NLG in healthcare.

Methods: We searched PubMed, ACM Digital Library, Web of Science, Science Direct, Scopus, Embase, and ACL Anthology for NLG-related studies in healthcare from 2018 to 2024. Out of 3,988 research articles, 113 met the inclusion criteria and were analyzed across data modality, model architecture, evaluation metrics, and application domain.

Results and conclusion: NLG in healthcare has grown substantially, with annual …

Feasibility Of Identifying Factors Related To Alzheimer’S Disease And Related Dementia In Real-World Data, Yu Huang, Qian Li, Aokun Chen, Yongqiu Li, Yu-Neng Chuang, Xia Hu, Serena Jingchuan Guo, Xing He, Yijiang Pang, Jiayu Zhou, Yonghui Wu, Yi Guo, Jiang Bian

Faculty, Staff and Student Publications

Objective: This study aimed to provide a comprehensive understanding of factors associated with Alzheimer's disease (AD) and AD-related dementias (AD/ADRD), which could aid in studies to develop new treatments for AD/ADRD patients and identify high-risk populations for prevention.

Scope and method: In our study, we summarized the risk factors for AD/ADRD by reviewing existing meta-analyses and review articles on risk and preventive factors for AD/ADRD. From this literature review and the identified AD/ADRD factors, we examined the accessibility of these risk and preventive factors in both structured and unstructured Electronic Health Records (EHRs) data.

Results: In total, we extracted 401 …

Advanced Artificial Intelligence Vs Simpler Models For 1-Year Death Prediction Among Patients Receiving Hemodialysis, Karthikeyan K, Jennifer E Flythe, Patrick H Pun, Wolfgang C Winkelmayer, David Carlson

Faculty, Staff and Students Publications

Objectives: We evaluated the data requirement for modern AI tools to outperform simpler models in predicting short-term mortality in over 500 000 patients with hemodialysis-dependent kidney failure.

Materials and methods: We compared logistic regression, boosting, and transformers using increasingly complex feature sets (from last-visit data to full trajectories). Performance was measured using the area under the ROC curve (AUC-ROC) and the Precision-Recall curve (AUC-PR) across training data sizes ranging from 500 to 490 197 samples.

Results: Using features with temporal information is beneficial across all models. On the full dataset, Transformers (AUC-ROC = 0.8568) and boosting (AUC-ROC = 0.8598) perform …

Driveline Infections Among Patients Supported With Left Ventricular Assist Devices: A Single Center Sixteen-Year Longitudinal Profile, Anh Nguyen, Alexis Shafii, Gabriel Loor, Andrew Civitello, O Howard Frazier, Todd Rosengart, Kenneth Liao

Faculty, Staff and Students Publications

Background: Left ventricular assist device (LVAD) driveline infections significantly impact patient outcomes. This study aimed to identify their risk factors.

Methods: We analyzed LVAD data from our institutional Intermacs database (January 1, 2008-December 31, 2023), combining primary implants and pump exchanges. Patient characteristics were summarized as frequencies for categorical variables and median (IQR) for continuous variables. The nature of repeated infection events was handled by the Andersen-Gill method within a multivariable Cox proportional hazards model for cause-specific hazard of driveline infections, accounting for death and heart transplant as competing risks.

Results: Our cohort included 1026 LVAD implants. Median patient age …

Preoperative Imaging For Cochlear Implantation: A Global Consensus, Farid Alzhrani, Craig Buchman, Et Al.

2020-Current year OA Pubs

OBJECTIVE: Preoperative imaging is vital for cochlear implant surgeries, aiding diagnosis, and surgical planning. This study evaluated global practices and the value of preoperative imaging through an international survey.

METHODS: A cross-sectional survey was conducted among international cochlear implantation experts using a 112-item questionnaire. The study explored imaging modalities, anatomical targets, evaluated parameters, and different imaging approaches' perceived value and risks. Participants were recruited from a global consortium of otolaryngology, otology, neurotology, and cochlear implant surgery professionals.

RESULTS: Thirty-nine practitioners from 36 centers in 16 countries completed the survey (95.1% response rate). All used computed tomography (CT) and magnetic resonance …

Relationship Between Clostridioides Difficile Stool Concentration, Nucleic Acid Amplification Test Results, And Environmental Contamination, Mary Morgan Lee, Kimberly A Reske, Tiffany Hink, Skye R S Fishbein, Erin P Newcomer, Candice Cass, Margaret A Olsen, Gautam Dantas, Carey-Ann D Burnham, Erik R Dubberke

2020-Current year OA Pubs

We compared rectal swab nucleic acid amplification testing (NAAT) with stool culture to detect

Deep Learning In Fetal, Infant, And Toddler Neuroimaging Research, Jenna H Chin, Madeleine K Wyburd, Vladislav Ayzenberg, Laurie Bayet, Berkin Bilgic, Emily M Chen, Yuting Chen, Áine Dineen, Shohei Fujita, Janelle Liu, Yohan Jun, M Catalina Camacho, Lilla Zöllei

2020-Current year OA Pubs

Artificial intelligence (AI) is increasingly being integrated into everyday tasks and work environments. However, its adoption in medical image analysis has progressed more slowly due to high clinical stakes, limited availability of labeled data, and substantial variability in imaging protocols and population. These challenges are further pronounced in the field of fetal, infant, and toddler (FIT) neuroimaging, where datasets are especially scarce and subject to large amounts of anatomical variability. However, deep learning (DL), a specific method within machine learning, which is itself a subfield of AI, has emerged as a powerful framework to adapt to the challenges of medical …

3rd Place Contest Entry: "Examining Physicians’ Behaviors Regarding Buprenorphine Prescribing For Opioid Use Disorder", Khashayar Eshtiaghi

Eric M. Scandrett Graduate Library Research Prize

This is Khashayar Eshtiaghi's submission for the 2026 Eric M. Scandrett Graduate Research Prize, which won third place. It contains their essay on using library resources, a summary of their research project on physicians' behaviors regarding buprenorphine prescribing for opioid use disorde, and their bibliography.

Khashayar is a student in the Ph.D. in Pharmaceutical Economics and Policy program at Chapman University. Their faculty mentor is Dr. Marc Fleming.