Digital Commons Network^™

Baseline Associations Of Office And Ambulatory Blood Pressure Monitoring With Cognitive Function And Dementia Prevalence, Jesus Melgarejo, Dhrumil Patil, Sokratis Charisis, Kristina P. Vatcheva, Silvia Mejia-Arango, Luis J. Mena, Claudia Satizabal, Eron G. Manusov, Sudha Seshadri, Gladys E. Maestre

School of Medicine Publications

Background: High blood pressure has been associated with dementia prevalence and incident. However, it is unclear the relationship of office and ambulatory BP monitoring with cognitive function and dementia and in particular, it remains unknown whether ambulatory BP variability relates to dementia.

Objective: To investigate the associations of office and 24-h blood pressure (BP) with cognitive function and dementia prevalence.MethodsCross-sectional population-based study of 1435 participants aged ≥40 years with office BP/24-h BP, and cognitive assessments (Mini-Mental State Examination [MMSE] and Selective Reminding Test [SRT]). Dementia was diagnosed with a clinical dementia rating ≥1.0. Statistics included logistic and linear regression models. …

Advancing Pandemic Response: Integrated Strategies For Testing, Prediction, And Bias Mitigation, Tianshu Gu

Theses and Dissertations (ETD)

The COVID-19 pandemic, along with prior outbreaks such as SARS and Ebola, has revealed critical gaps in global pandemic preparedness, emphasizing the need for integrated approaches to infectious disease management. This dissertation addresses three key areas of pandemic response: developing scalable screening strategies, constructing reliable predictive models, and mitigating demographic biases in artificial intelligence (AI) models used for healthcare decision-making.

The first study introduces a global screening strategy designed to optimize resource use and increase testing capacity, particularly in low- and middle-income countries (LMICs) where resources are limited. This study leverages pooled testing methods, where multiple samples are combined into …

Impact Of A Transplant Nurse Navigator In The Dialysis Setting, Judith D. Pozzerle

Electronic Theses and Dissertations

Patients with kidney disease have better patient outcomes and quality of life with a kidney transplant. However, the transplant process is complicated with inherent inequalities and biases and patients frequently fail to initiate a referral for transplant evaluation. The Centers for Medicare and Medicaid have now placed financial incentives to improve the number of patients transplanted. The only way to increase the number of patients transplanted is to start with a referral for evaluation. Studies have been done highlighting the barriers, but there is a lack of studies implementing strategies to improve these numbers. Utilizing Kotter’s change theory and describing …

A New Multiple Imputation Method For High-Dimensional Neuroimaging Data, Tong Lu, Peter Kochunov, Chixiang Chen, Hsin-Hsiung Huang, L Elliot Hong, Shuo Chen

Faculty, Staff and Student Publications

Missing data are a prevalent challenge in neuroimaging, with significant implications for downstream statistical analysis. Neglecting this issue can introduce bias and lead to erroneous inferential conclusions, making it crucial to employ appropriate statistical methods for handling missing data. Although the multiple imputation is a widely used technique, its application in neuroimaging is severely hindered by the high dimensionality of neuroimaging data, and the substantial computational demands. To tackle the critical computational challenges, we propose a novel approach, High dimensional Multiple Imputation (HIMA), based on Bayesian models specifically designed for large-scale neuroimaging datasets. HIMA introduces a new computational strategy to …

The Relationship Between Visceral Fat Accumulation And Risk Of Cardiometabolic Multimorbidity: The Roles Of Accelerated Biological Aging, Tianyu Zhu, Yixing Tian, Jinqi Wang, Zhiyuan Wu, Wenhan Xie, Haotian Liu, Xia Li, Lixin Tao, Xiuhua Guo

Research outputs 2022 to 2026

Objectives: To investigate the association between visceral fat accumulation and the risk of cardiometabolic multimorbidity (CMM) and the potential roles of accelerated biological aging in this relationship. Methods: Using data from the UK Biobank, a nationwide cohort study was conducted using the available baseline body roundness index (BRI) measurement. Biological aging was assessed using the Klemera–Doubal method for biological age and the phenotypic age algorithms. The association between the BRI and CMM was estimated using the Cox proportional hazards regression model, while the roles of biological aging were examined through interaction and mediation analyses. Results: During a median follow-up of …

Strengthening The Paediatric Clinical Trial Ecosystem To Better Inform Policy And Programmes, James A. Berkley, Judd L. Walson, Glenda Gray, Fiona Russell, Zulfiqar Ahmed Bhutta, Per Ashorn, Shane A. Norris, Ebunoluwa A. Adejuyigbe, Rebecca Grais, Bernhards Ogutu

Institute for Global Health and Development

The first WHO Global Clinical Trials Forum was convened in November, 2023 to develop a shared vision of an effective global clinical trial infrastructure. The Paediatric Clinical Trials Working Group was formed to provide perspectives, identify challenges, and propose solutions to strengthen the paediatric clinical trials ecosystem. Participants represented paediatric disciplines, including infectious diseases, nutrition, neonatology, pharmacology, oncology, neurodevelopment, public health, and policy. Childhood diseases have profound lifelong effects on health, livelihoods, and societies. Investment in early childhood results in highly cost-effective changes to lifelong health, productivity, and human capital returns. Yet, there remain substantial gaps in knowledge on the …

The Impact Of Success Coaching On Psychological Well-Being And Sense Of Belonging In First-Year College Students, Lashay Y. Mcqueen

Educational Leadership & Workforce Development Theses & Dissertations

As higher education institutions seek to assist students with the first-year transition, coaching is one intervention shown to increase academic performance and retention rates (Capstick et al., 2019). Along with academics, fostering student success from a holistic perspective is imperative (Bentrim & Henning, 2022). The purpose of this study was to determine the impact of participation in success coaching on the psychological well-being and sense of belonging for first-year college students. The study also investigated the impact of success coaching on first-generation students. Existing data were used to compare participation in success coaching to overall psychological well-being and sense of …

Nanosecond Pulsed Electric Field And Plasma Jets For Cancer Therapy, Edwin Ayobami Oshin

Biomedical Engineering Theses & Dissertations

Nanosecond pulsed electric field (nsPEF) employs nanosecond-duration, high voltage pulses to induce oxidative stress, leading to temporary or permanent damage to cells or tissue (also known as reversible and irreversible electroporation), and has been considered a promising approach for cancer therapy. In parallel to this, nanosecond pulsed atmospheric pressure plasma jets (ns-APPJs) have also shown to be effective in inactivating cancer cells or increasing sensitivity of cells to electric fields. ns-APPJs are known to generate reactive chemical agents, including reactive oxygen and nitrogen species (RONS) which induces oxidative stress resulting in cell proliferation, apoptosis, and necrosis. In this dissertation, a …

The Impacts Of Physical (In)Activity On Endothelial Function, Joel Ernest Harden

Rehabilitation Sciences Theses & Dissertations

Exercise and physical activity are known to have beneficial effects on endothelial function and vascular health. Sedentary behavior and physical inactivity, however, have been shown to be related to poor endothelial function and vascular health. The overall purpose of this dissertation was to further elucidate the physiological links between physical (in)activity and vascular health. In the first study, 12 active, young (18-40 yr) individuals and 12 active, old (55+ yr) individuals were recruited. Participants underwent 5 days of removal of exercise, and had their endothelial function assessed via flow-mediated dilation (FMD) during their normal, habitual exercise state (EX) and during …

Differential Treatment Effects On Β-Cell Function Using Model-Based Parameters In Type 2 Diabetes: Results From The Glycemia Reduction Approaches In Diabetes: A Comparative Effectiveness Study (Grade), Kristina M Utzschneider, Mark Tripputi, Nicole M Butera, Andrea Mari, Samuel P Rosin, Mary Ann Banerji, Richard M Bergenstal, Necole Brown, Anders L Carlson, Ralph A Defronzo, Michaela R Gramzinski, Tasma Harindhanavudhi, Alexandra Kozedub, William I Sivitz, Michael W Steffes, Ashok Balasubramanyam, Neda Rasouli

Faculty, Staff and Students Publications

Objective: To evaluate how model-based parameters of β-cell function change with glucose-lowering treatment and associate with glycemic deterioration in adults with type 2 diabetes (T2D).

Research design and methods: In the Glycemia Reduction Approaches in Diabetes: A Comparative Effectiveness Study (GRADE), β-cell function parameters derived from mathematical modeling of oral glucose tolerance tests were assessed at baseline (N = 4,712) and 1, 3, and 5 years following randomization to insulin glargine, glimepiride, liraglutide, or sitagliptin, added to baseline metformin. Parameters included insulin secretion rate (ISR), glucose sensitivity (insulin response to glucose), rate sensitivity (early insulin response), and potentiation. Linear mixed-effects …

A Semi-Mechanistic Model Of Immune Tolerance Induction To Support Preclinical Development Of A Human Monoclonal Antibody, Paridhi Gupta

Alternative Theses and Dissertations (AETDs)

Administration of human monoclonal antibodies (mAb) in preclinical species often triggers an immunogenic response, leading to the formation of anti-drug antibodies (ADA). ADA can bind to the mAb and reduce their systemic exposure by enhancing immune-complex mediated clearance. Thus, ADA complicates the accurate assessment of preclinical pharmacokinetics and toxicology studies. To mitigate this effect, we explored short-term immunosuppressive therapy (methotrexate or combination of tacrolimus and sirolimus) to induce prolonged immune tolerance towards a human mAb, erenumab, in rats. The results demonstrated that tacrolimus/sirolimus but not the methotrexate regimens prevented ADA formation in all treated animals relative to the non-immunocompromised control …

A Novel Method For Semi-Quantitative Detection Of Hpv16 And Hpv18 Mrna With A Low-Cost, Open-Source Fluorimeter, Kathryn A Kundrod, Mary E Natoli, Chelsey A Smith, Jackson B Coole, Megan M Chang, Emilie Newsham Novak, Elizabeth Chiao, Elizabeth A Stier, Jane R Montealegre, Michael E Scheurer, Philip E Castle, Kathleen M Schmeler, Rebecca R Richards-Kortum

Center for Medical Ethics and Health Policy Staff Publications

Despite global calls to eliminate cervical cancer, rates of cervical cancer incidence and mortality remain high in resource-limited settings, where it is challenging to implement and sustain screening, diagnosis, and treatment programs. The presence of high-risk HPV mRNA in cervical cells is a sensitive and specific biomarker of cervical precancer. Yet, current testing methods are too costly and complex for use in resource-limited settings. Here, we present a novel method for semi-quantitative detection of HPV16 and HPV18 mRNA with minimal infrastructure requirements. The assay relies on isothermal reverse transcription recombinase polymerase amplification (RT-RPA) with real-time fluorescence readout, demonstrated on rugged, …

Cost-Effectiveness Of Personalized Policies For Implementing Organ-At-Risk Sparing Adaptive Radiation Therapy In Head And Neck Cancer, Seyedmohammadhossein Hosseinian, Daniel Suarez-Aguirre, Cem Dede, Raul Garcia, Lucas Mccullum, Mehdi Hemmati, Aysenur Karagoz, Abdallah S R Mohamed, Stephen Y Lai, Katherine A Hutcheson, Amy C Moreno, Kristy K Brock, Fatemeh Nosrat, Clifton D Fuller, Andrew J Schaefer

Faculty, Staff and Student Publications

Background and purpose: The principle of adaptive radiation therapy (ART) is to adjust radiation plans in response to anatomical changes during treatment. The purpose of this study was to develop a decision-making model for implementation of personalized ART that balances the costs and clinical benefits of radiation plan adaptations in head and neck cancer (HNC).

Materials and methods: Using retrospective imaging data from 52 HNC patients, a Markov decision process (MDP) model was developed to determine optimal timing for plan adaptations based on the difference in normal tissue complication probability (ΔNTCP) between planned and delivered doses to organs-at-risk. To capture …

The Medicine From Nature; Finding The Antibacterial Power Of Essential Oils, Josi Maness, Seoyeon Kim, Eric T. Gillock

SACAD: Scholarly Activities

Essential oils are known to have pharmaceutical effects such as anti-inflammatory, antioxidant, and anticarcinogenic properties. These days, there are various types of essential oils that are commonly used for coughing or to promote good sleep.

We prepared 19 different essential oils to find the essential oil that has the most antibiotic properties by putting drops of oil on a soy agar plate with Serratia marcescens. As a result, cinnamon cassia essential oil was most effective, and five of them didn't have antibiotic properties.

We also tested with six different types of antibiotics, and as a result, only three of them …

Surgical Versus Nonsurgical Management Of Civilian Craniocerebral Gunshot Injuries, Wesley Shoap, George Austin Crabill, Roboan Guillen, Kaleb Derouen, Jack Leoni, Zhide Fang, Berje Shammassian

School of Medicine Faculty Publications

Introduction: Craniocerebral gunshot wounds in the civilian population constitute a devastating subset of traumatic brain injuries (TBI). The aim of this study was to determine the association of mortality, intensive care unit length of stay (ICU LOS), and the Glasgow Outcome Scale Extended (GOS-E) among craniocerebral gunshot patients based on timing and type of intervention. Methods: The trauma database was queried for GSWH patients ages 15 and older who received neurosurgical intervention from January 1st 2016 to June 1st 2023. Operative notes were reviewed and patients were then divided into three groups; intracranial pressure monitor only with medical treatment (ICP), …

03.31.2025 Ored Connect, Liz Williamson

ORED Newsletter

Indirect Cost Rate Agreement

NIH Transition to Common Forms

NIH Implementation of New Initiatives and Policies

Liver Tet1 Promotes Metabolic Dysfunction-Associated Steatotic Liver Disease, Hongze Chen, Muhammad Azhar Nisar, Joud Mulla, Xinjian Li, Kevin Cao, Shaolei Lu, Katsuya Nagaoka, Shang Wu, Peng Sheng Ting, Tung Sung Tseng, Hui Yi Lin, Xiao Ming Yin, Wenke Feng, Zhijin Wu, Zhixiang Cheng, William Mueller, Amalia Bay, Layla Schechner, Xuewei Bai, Chiung Kuei Huang

School of Public Health Faculty Publications

Global hepatic DNA methylation change has been linked to human patients with metabolic dysfunction-associated steatotic liver disease (MASLD). DNA demethylation is regulated by the TET family proteins, whose enzymatic activities require 2-oxoglutarate (2-OG) and iron that both are elevated in human MASLD patients. We aimed to investigate liver TET1 in MASLD progression. Depleting TET1 using two different strategies substantially alleviated MASLD progression. Knockout (KO) of TET1 slightly improved diet induced obesity and glucose homeostasis. Intriguingly, hepatic cholesterols, triglycerides, and CD36 were significantly decreased upon TET1 depletion. Consistently, liver specific TET1 KO led to improvement of MASLD progression. Mechanistically, TET1 promoted …

Development And Analysis Of The Kinematic-Dynamic Model Of The Rehabilitation Exoskeleton System, Umidjon Abdumutalipovich Takabaev, Zafar Botirovich Juraev

Technical science and innovation

Designing modern rehabilitation exoskeleton systems requires a comprehensive study of human-machine interactions. In this process, creating kinematic and dynamic mathematical models of the system is extremely important. In this paper, we develop mathematical models that describe rehabilitation exoskeleton systems' kinematic and dynamic properties. Based on the Denavit-Hartenberg method we construct kinematic model of the exoskeleton system. The method gave us to determine the coordinate system for each joint. Furthermore, we also study the motion range of joints of the exoskeleton. Modeling the dynamic properties of the system performed with the second-order Lagrange equation. The exoskeleton construction consisting of knee, thigh, …

Review On Treatment Outcome Of Patient With Acute Bacterial Meningitis In Pediatrics, Uswa Insaf, Faiza Waseem, Nadia Iqbal, Tehseen Riaz, Irfan Bashir, Waqas Akram

Journal of Bioresource Management

Antibiotic treatment improves outcomes of treatment, but extensively available antibiotics efficiency is vulnerable by globally appearance of development of multidrug-resistant bacteria. An infectious etiology arises, such as fungi, bacteria, viruses, mycobacteria, or parasites, or be related with cancer, autoimmunity, or medications reaction. The causative organism was recognized by most patients treated with antibiotics, culture of the CSF and blood, by countercurrent immune-electrophoresis of fluids. Neisseria meningitidis, Hemophilus influenzae b and Streptococcus pneumoniae are the commonest causes of bacterial meningitis. Bacterial meningitis has adequately extreme in the pediatrics people of developing countries. Many people with bacterial meningitis don't have any …

Ransomware In Healthcare: Threats, Impacts, And Mitigation Strategies, Mackenzie Dotson, Kasi Gorli, Alberto Coustasse

Management Faculty Research

Excerpt: The growing digitalization of healthcare has exposed hospitals to significant cybersecurity threats, particularly ransomware attacks. The Health Sector Cybersecurity Coordination Center (HC3) reported that as of mid-2024, there were 730 cyber-attacks worldwide against healthcare institutions, with 530 targeting the U.S. (AHA, 2024). Half of these incidents involved ransomware, a type of malware that restricts access to critical data until a ransom is paid (HHS, 2021). Hospitals are attractive targets for cybercriminals due to their essential role in patient care. Cybercriminals exploit vulnerabilities in hospital networks, often causing severe operational and financial damage. Factors such as understaffed IT teams, outdated …

Cyber Threats In Healthcare: The Ransomware Epidemic, Mackenzie Dotson, Kasi Gorli, Alberto Coustasse

Management Faculty Research

In this presentation, we will delve into the growing ransomware crisis in healthcare, examining how these cyber threats disrupt hospital operations, jeopardize patient safety, and impose significant financial burdens. From understanding how ransomware infiltrates hospital systems to exploring real-world case studies, we will uncover the devastating impact of these attacks. Our discussion will also focus on mitigation strategies, cybersecurity best practices, and policy recommendations to safeguard healthcare institutions from future threats.

Breakfast In Schools: Literature Review, Hannah C. Posey

Master of Nutrition and Dietetics

Breakfast is recommended as part of a healthy diet because it is associated with healthier macro and micronutrient intakes, BMI, and lifestyle. Breakfast is also widely promoted to improve cognitive function and academic performance (Hoyland et al., 2009). Yet, according to Hayes and FitzSimons (2024) in the 2021-2022 school year, 51.9 out of every 100 students picked up breakfast, while in the 2022-2023 school year that decreased to 50.9 out of every 100 students. That is a decrease of 1.2 million children for the school year not receiving school breakfast that had the year prior. Hearst et al. (2017) discovered …

Automated Data Analysis For Concussion Patient Records: A Flutter-Based Desktop Application, Fhaheem Tadamarry

USF Tampa Graduate Theses and Dissertations

Concussions are a prevalent and complex medical condition requiring careful clinical assessment and data-driven insights for effective management. This thesis presents the development of an automated data analysis system for concussion patient records, integrating Flutter-based desktop application development with SQL-driven data processing. The system provides a streamlined, interactive interface for clincians and researchers to upload, visualize, and analyze patient data efficiently.

The proposed solution automates data cleaning, preprocessing, and statistical analysis, ensuring robust and reliable insights into demographic, clinical, and recovery-related factors. Key analyses include sex-based differences injury mechanisms, prior head injury impact, mood disorder correlations, and time-to-treatment variations. The …

Multimodal Ai-Driven Biomarker For Early Detection Of Cancer Cachexia, Sabeen Ahmed

USF Tampa Graduate Theses and Dissertations

Cancer cachexia is a metabolic syndrome characterized by substantial skeletal muscle loss, impacting cancer patients' survival and quality of life. Despite its clinical significance, early detection remains a challenge due to the lack of standardized diagnostic criteria and the reliance on indirect markers. This work presents an AI-driven approach to enhance cachexia detection and monitoring by integrating multiple deep learning methodologies. We explore transformer architectures for time-series analysis to model sequential medical data, enabling disease prediction and progression modeling. To ensure robust and reliable decision-making in clinical settings, we explore Bayesian deep neural networks for uncertainty estimation. Additionally, we introduce …

Application Of Quantum Entanglement To Explain The Healing Mechanism By Highly Diluted Homoeopathic Medicines, Bijay Krishna Chaudhuri, Biswadeep Chaudhuri

Indian Journal of Research in Homoeopathy

Background: The healing mechanism of highly diluted homoeopathic medicines (DHM) is not yet very clear.

Objectives: Our objective is to apply the concepts of entropy, information, and quantum mechanical principle of entanglement to find a model for explaining the healing mechanism of DHM.

Methodology: All living or non-living things are composed of dynamic microscopic quantum particles (electrons, protons, ions, etc.) which follow the basic properties of quantum mechanics such as quantum entanglement, superposition of quantum states and coherent interaction among these particles. The continuous change of thermodynamic entropies of the dynamic living cells leads to information change for cellular communication …

Evaluating A Large Language Model’S Accuracy In Chest X-Ray Interpretation For Acute Thoracic Conditions, Adam M. Ostrovsky

SKMC Student Presentations and Publications

BACKGROUND: The rapid advancement of artificial intelligence (AI) has great ability to impact healthcare. Chest X-rays are essential for diagnosing acute thoracic conditions in the emergency department (ED), but interpretation delays due to radiologist availability can impact clinical decision-making. AI models, including deep learning algorithms, have been explored for diagnostic support, but the potential of large language models (LLMs) in emergency radiology remains largely unexamined.

METHODS: This study assessed ChatGPT's feasibility in interpreting chest X-rays for acute thoracic conditions commonly encountered in the ED. A subset of 1400 images from the NIH Chest X-ray dataset was analyzed, representing seven pathology …

The Present And Future Of Ai: Ethical Issues And Research Opportunities, Ankita Srivastava, Marco Marabelli, Danielle Blanch-Hartigan, Jeffrey Moriarty, Evan Carey

Computer Information Systems Faculty Publications

Healthcare is currently a fast-changing industry with AI and generative AI (GenAI) playing a prominent role in the transformation of clinical as well as managerial practices. Clinical practices involve AI to diagnose diseases and develop new drugs and compounds, while managerial practices concern AI-supporting processes such as billing patients and insurance companies, handling electronic medical records, and supporting remote connections with patients, increasingly using virtual and augmented reality. Yet, all these opportunities offered by AI come with challenges involving potential ethical issues, such as discrimination, bias, lack of accessibility, and privacy issues. In March 2024, we organized a panel with …

Differences In Covid-19 Deaths Amongst Cancer Patients And Possible Mediators For This Relationship, Leah Vaidya, Nubaira Rizvi, Xiao Cheng Wu, Lauren S. Maniscalco, Yong Yi, Augusto Ochoa, Qingzhao Yu

School of Public Health Faculty Publications

Previous research demonstrated Non-Hispanic Black populations experience higher COVID-19 mortality rates than Non-Hispanic White individuals. Additionally, cancer status is a known risk factor for COVID-19 death. While prior studies investigated comorbidities as exploratory variables in differences in COVID-19 hospitalization, none have explored their role in COVID-19-related deaths. This study aimed to evaluate whether Charlson Comorbidity Index (CCI) and subsequently, individual diseases are potential explanatory variables for this relationship. The analysis focused on Non-Hispanic Black and Non-Hispanic White cancer patients aged 20 or older, diagnosed between 2011 and 2019, who tested positive for COVID-19 from the start of pandemic through June …

Unlocking Precision Using K-Means++- Improved Genetic Algorithm-Radial Basis Function Neural Network: Data-Driven Evolution Of Smart Gloves For Gesture Recognition, Liang Xiao Ding, Kuan Way Chee, Hong Lü, Anand Paul, Jeonghong Kim, Jang Myung Lee

School of Public Health Faculty Publications

Human-computer interaction technologies have been used since the 1970s but have only gained growing popularity in recent years with new design paradigms. Ongoing research and development in gesture recognition systems with broad application prospects have focused on improving accuracy and real-time performance as well as the robustness of specific machine learning algorithms against environmental conditions. This paper addresses the accuracy enhancement of a novel Fifth Dimension Technologies data-glove-based gesture recognition system using a genetic-algorithm (GA)-trained k-means++-improved radial basis function (RBF) or GK-RBF neural network. First, we analyzed and modeled the sensor distribution in the data glove and proposed joint constraints …

Role Of Eye-Tracking Technology And Software Algorithms In Enhancing Adhd Detection And Diagnosis: A Systematic Literature Review, Lauren E. Perkins

Honors College Theses

This systematic literature review explores the role of eye-tracking technology and software algorithms in enhancing the detection and diagnosis of ADHD. ADHD, a neurodevelopmental disorder affecting both children and adults, is traditionally diagnosed through behavioral assessments, which may lack objectivity. Recent studies suggest that eye-tracking, specifically focusing on saccades, fixations, and blink rates, offers the potential for more accurate and objective measures of ADHD. The review examines clinical trials, observational studies, and machine learning research to assess the correlation between ADHD and eye movement patterns. Results indicate that individuals with ADHD exhibit distinct eye movement patterns, which can be quantified …