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Coronary Artery Disease: An Analysis Of Its Biochemical, Physiological, And Sociological Causes And Effects, Alexander Velazquez 2021 University of Mississippi

Coronary Artery Disease: An Analysis Of Its Biochemical, Physiological, And Sociological Causes And Effects, Alexander Velazquez

Honors Theses

Coronary Artery Disease (CAD) is a serious condition caused by a buildup of plaque in your coronary arteries, the blood vessels that bring oxygen-rich blood to your heart. It disproportionately affects millions of Americans and thousands of Mississippians. This study presents the results of an evaluation of causation factors of CAD, the physiological impact on the body, and the contributing determinants of CAD on Mississippi populations. Data on Mississippi populations were collected using the Center for Population Studies at the University of Mississippi. A multitude of individuals were evaluated when examining the causes and effects of CAD including men, women ...


Non-Selective Primary Human Tumor Cell Line Generation From Surgical Resections To Be Paired With Flash Frozen And Paraffin Embedded Tissue: Advancements In Democratizing Translational Research Materials To Rural Institutions, Jennifer Hawkins, Rebecca Russell, Logan M. Lawrence, Amrita Valluri, Jessica Wellman, Krista Denning 2021 Marshall University

Non-Selective Primary Human Tumor Cell Line Generation From Surgical Resections To Be Paired With Flash Frozen And Paraffin Embedded Tissue: Advancements In Democratizing Translational Research Materials To Rural Institutions, Jennifer Hawkins, Rebecca Russell, Logan M. Lawrence, Amrita Valluri, Jessica Wellman, Krista Denning

Marshall Journal of Medicine

Translational cancer research relies on the availability of human patient tissue demonstrating the specific disease process under investigation. Biobanks of human tissue have historically been and remain to date the primary access point for cancer research samples. Biorepositories routinely supply researchers with varying sample types for use in biomedical studies; most commonly formalin-fixed and paraffin-embedded (FFPE) tissue, or fresh snap-frozen tissue. In conjunction with preserved tissue samples, viable tumor cell lines derived from patient tissue have emerged to be a new gold standard in cancer research particularly in drug discovery and functional prognostic assays. Tissue banks providing these samples are ...


Predicting Tumor Response To Radiotherapy Based On Estimation Of Non-Treatment Parameters, Yutian Huang, Allison L. Lewis 2021 Lafayette College

Predicting Tumor Response To Radiotherapy Based On Estimation Of Non-Treatment Parameters, Yutian Huang, Allison L. Lewis

Spora: A Journal of Biomathematics

Though clinicians can now collect detailed information about a variety of tumor characteristics as a tumor evolves, it remains difficult to predict the efficacy of a given treatment prior to administration. Additionally, the process of data collection may be invasive and expensive. Thus, the creation of a framework for predicting patient response to treatment using only information collected prior to the start of treatment could be invaluable. In this study, we employ ordinary differential equation models for tumor growth and utilize synthetic data from a cellular automaton model for calibration. We investigate which parameters have the most influence upon treatment ...


Using A Hybrid Agent-Based And Equation Based Model To Test School Closure Policies During A Measles Outbreak, Elizabeth Hunter, John D. Kelleher 2021 Technological University Dublin

Using A Hybrid Agent-Based And Equation Based Model To Test School Closure Policies During A Measles Outbreak, Elizabeth Hunter, John D. Kelleher

Articles

Background

In order to be prepared for an infectious disease outbreak it is important to know what interventions will or will not have an impact on reducing the outbreak. While some interventions might have a greater effect in mitigating an outbreak, others might only have a minor effect but all interventions will have a cost in implementation. Estimating the effectiveness of an intervention can be done using computational modelling. In particular, comparing the results of model runs with an intervention in place to control runs where no interventions were used can help to determine what interventions will have the greatest ...


Modelling The Impact Of Clot Fragmentation On The Microcirculation After Thrombectomy, Wahbi K. El-Bouri, Andrew MacGowan, Tamas I. Jozsa, Matthew J. Gounis, Stephen J. Payne 2021 University of Oxford

Modelling The Impact Of Clot Fragmentation On The Microcirculation After Thrombectomy, Wahbi K. El-Bouri, Andrew Macgowan, Tamas I. Jozsa, Matthew J. Gounis, Stephen J. Payne

Radiology Publications

Many ischaemic stroke patients who have a mechanical removal of their clot (thrombectomy) do not get reperfusion of tissue despite the thrombus being removed. One hypothesis for this 'no-reperfusion' phenomenon is micro-emboli fragmenting off the large clot during thrombectomy and occluding smaller blood vessels downstream of the clot location. This is impossible to observe in-vivo and so we here develop an in-silico model based on in-vitro experiments to model the effect of micro-emboli on brain tissue. Through in-vitro experiments we obtain, under a variety of clot consistencies and thrombectomy techniques, micro-emboli distributions post-thrombectomy. Blood flow through the microcirculation is modelled ...


Predictive Modeling And Estimation Of The Doubling Time Of Confirmed Cases Of Covid-19 In Niger, Ibrahim Sidi Zakari, Hadiza Galadima 2021 Old Dominion University

Predictive Modeling And Estimation Of The Doubling Time Of Confirmed Cases Of Covid-19 In Niger, Ibrahim Sidi Zakari, Hadiza Galadima

Community & Environmental Health Faculty Publications

Modeling is increasingly used to assess scenarios and make projections on the future course of new coronavirus disease. This allows for better planning of care as well as a relaxation or tightening of the restrictive measures decreed by the government and the health authorities. The data analyzed in this study covers the period from March 19 to June 05, 2020 and allowed predictions of new cases of COVID-19 based on a growth model with a growth rate that changes linearly over time. In addition, we calculated and predicted the doubling time of the number of positive cases in each region ...


Long-Term Dynamics Of The Kidney Disease Epidemic Among Hiv-Infected Individuals, Heather Gudaz, Henry A. Ogu, Elissa J. Schwartz 2021 Washington State University

Long-Term Dynamics Of The Kidney Disease Epidemic Among Hiv-Infected Individuals, Heather Gudaz, Henry A. Ogu, Elissa J. Schwartz

Spora: A Journal of Biomathematics

One of many risks facing HIV+ individuals is the development of kidney dysfunction and end stage kidney disease (ESKD). A differential equation-based mathematical model was developed to assess the impact of antiretroviral therapy on the progression to kidney disease and on reducing mortality due to kidney failure. Analytical and numerical predictions of long-term HIV+ ESKD prevalence show that therapy can lead to either extremely low levels of disease prevalence or increased prevalence, depending on drug efficacy levels and mechanisms of action. Maintenance of HIV+ ESKD prevalence below one individual is possible with sufficient efficacy (e.g., 99%) against the progression ...


Stat5a Regulation By Serine Phosphorylation In Breast Cancer, Alicia E. Woock 2021 Virginia Commonwealth University

Stat5a Regulation By Serine Phosphorylation In Breast Cancer, Alicia E. Woock

Theses and Dissertations

The neuroendocrine hormone prolactin (PRL) and its cognate receptor (PRLr) have been implicated in the pathogenesis of breast cancer. PRL signaling relies on activating kinases such as the tyrosine kinase Jak2 and serine/threonine kinases ERK1/2, NEK3, PI3K, and AKT. In the canonical pathway of PRL signaling, JAK2 phosphorylates the transcription factor STAT5a at tyrosine residue 694 (pY694-STAT5a), preceding STAT5a nuclear translocation and transcriptional activity. However, STAT5a exists with functional duality as a transcription factor, having both pro-differentiative and pro-proliferative target genes. Other STAT family members (STATs 1, 3, and 6) have been shown to have transcriptional activity in ...


A Model For Inhalation Of Infectious Aerosol Contaminants In An Aircraft Passenger Cabin, Bert A. Silich 2021 Vector Vantage LLC

A Model For Inhalation Of Infectious Aerosol Contaminants In An Aircraft Passenger Cabin, Bert A. Silich

International Journal of Aviation, Aeronautics, and Aerospace

Aerosol contamination of an aircraft cabin by infectious passengers is a concern of passengers, aircrew and the aviation industry. This may be especially important during a pandemic, such as COVID-19, where the full extent of aerosol transmission is not well understood. A statistical method to determine the number of infectious passengers on board along with a mathematical model estimating the contaminant concentration of aerosols in the cabin and the number of inhaled infectious particles by passengers is presented. An example is used to demonstrated how the results can be estimated during normal operations and emergency conditions with malfunctions of the ...


Containing The Spread Of Infectious Disease On College Campuses [Preprint], Mirai Shah, Gabrielle Ferra, Susan Fitzgerald, Paul J. Barreira, Pardis C. Sabeti, Andres Colubri 2020 Harvard College

Containing The Spread Of Infectious Disease On College Campuses [Preprint], Mirai Shah, Gabrielle Ferra, Susan Fitzgerald, Paul J. Barreira, Pardis C. Sabeti, Andres Colubri

University of Massachusetts Medical School Faculty Publications

College campuses are highly vulnerable to infectious disease outbreaks, and there is a pressing need to develop better strategies to mitigate their size and duration, particularly as educational institutions around the world reopen to in-person instruction in the midst of the COVID-19 pandemic. Towards addressing this need, we applied a stochastic compartmental model to quantify the impact of university-level responses to past mumps outbreaks in college campuses and used it to determine which control interventions are most effective. Mumps is a very relevant disease in such settings, given its airborne mode of transmission, high infectivity, and recurrence of outbreaks despite ...


Improved Prime Editors Enable Pathogenic Allele Correction And Cancer Modelling In Adult Mice [Preprint], Pengpeng Liu, Shun-Qing Liang, Chunwei Zheng, Esther Mintzer, Yan G. Zhao, Karthikeyan Ponnienselvan, Aamir Mir, Erik J. Sontheimer, Guangping Gao, Terence R. Flotte, Scot A. Wolfe, Wen Xue 2020 University of Massachusetts Medical School

Improved Prime Editors Enable Pathogenic Allele Correction And Cancer Modelling In Adult Mice [Preprint], Pengpeng Liu, Shun-Qing Liang, Chunwei Zheng, Esther Mintzer, Yan G. Zhao, Karthikeyan Ponnienselvan, Aamir Mir, Erik J. Sontheimer, Guangping Gao, Terence R. Flotte, Scot A. Wolfe, Wen Xue

University of Massachusetts Medical School Faculty Publications

Prime editors (PEs) mediate genome modification without utilizing double-stranded DNA breaks or exogenous donor DNA as a template. PEs facilitate nucleotide substitutions or local insertions or deletions within the genome based on the template sequence encoded within the prime editing guide RNA (pegRNA). However, the efficacy of prime editing in adult mice has not been established. Here we report an NLS-optimized SpCas9-based prime editor that improves genome editing efficiency in both fluorescent reporter cells and at endogenous loci in cultured cell lines. Using this genome modification system, we could also seed tumor formation through somatic cell editing in the adult ...


The Values And Limitations Of Mathematical Modelling To Covid-19 In The World: A Follow Up Report, Yuanji Tang, Sherry Tang, Shixia Wang 2020 Applied NanoFemto Technologies, LLC

The Values And Limitations Of Mathematical Modelling To Covid-19 In The World: A Follow Up Report, Yuanji Tang, Sherry Tang, Shixia Wang

COVID-19 Publications by UMMS Authors

We previously described a mathematical model to simulate the course of the COVID-19 pandemic and try to predict how this outbreak might evolve in the following two months when the pandemic cases will drop significantly. Our original paper prepared in March 2020 analyzed the outbreaks of COVID-19 in the US and its selected states to identify the rise, peak, and decrease of cases within a given geographic population, as well as a rough calculation of accumulated total cases in this population from the beginning to the end of June 2020. The current report will describe how well the later actual ...


Modelling The Impact Of Clot Fragmentation On The Microcirculation After Thrombectomy [Preprint], Wahbi K. El-Bouri, Andrew MacGowan, Tamás I. Józsa, Matthew J. Gounis, Stephen J. Payne 2020 University of Oxford

Modelling The Impact Of Clot Fragmentation On The Microcirculation After Thrombectomy [Preprint], Wahbi K. El-Bouri, Andrew Macgowan, Tamás I. Józsa, Matthew J. Gounis, Stephen J. Payne

University of Massachusetts Medical School Faculty Publications

Many ischaemic stroke patients who have a mechanical removal of their clot (thrombectomy) do not get reperfusion of tissue despite the thrombus being removed. One hypothesis for this ‘no-reperfusion’ phenomenon is micro-emboli fragmenting off the large clot during thrombectomy and occluding smaller blood vessels downstream of the clot location. This is impossible to observe in-vivo and so we here develop an in-silico model based on in-vitro experiments to model the effect of micro-emboli on brain tissue. Through in-vitro experiments we obtain, under a variety of clot consistencies and thrombectomy techniques, micro-emboli distributions post-thrombectomy. Blood flow through the microcirculation is modelled ...


Applying Immuno-Epidemiology Principles To Violence, Anna H. Sisk, Nina H. Fefferman, Judy Day, Patricia Bamwine 2020 University of Tennessee, Knoxville

Applying Immuno-Epidemiology Principles To Violence, Anna H. Sisk, Nina H. Fefferman, Judy Day, Patricia Bamwine

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.


Analyzing The Control Measures For The Homeless Population And Quantifying Their Impact On The Covid-19 Epidemic In New York City, Steven Manns 2020 Illinois State University

Analyzing The Control Measures For The Homeless Population And Quantifying Their Impact On The Covid-19 Epidemic In New York City, Steven Manns

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.


Mathematical Modeling And Analysis Of The Zika Virus Epidemic With Human Mobility And Parameter Estimation For Localities In Puerto Rico, Carmen Caiseda 2020 Inter American University of Puerto Rico - Bayamon

Mathematical Modeling And Analysis Of The Zika Virus Epidemic With Human Mobility And Parameter Estimation For Localities In Puerto Rico, Carmen Caiseda

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.


The Covid-19 Consequences Of College Class Continuity Calculator, Sharon Bewick, Erika Ludden, Suzanne Robertson, Jeffrey Demers 2020 Clemson University

The Covid-19 Consequences Of College Class Continuity Calculator, Sharon Bewick, Erika Ludden, Suzanne Robertson, Jeffrey Demers

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.


Mathematical Modeling, Analysis, And Simulation Of The Covid-19 Pandemic With Behavioral Patterns, Risk Perception, And Group Mixing, Comfort Ohajunwa, Padmanabhan Seshaiyer 2020 The Governor's School at Innovation Park

Mathematical Modeling, Analysis, And Simulation Of The Covid-19 Pandemic With Behavioral Patterns, Risk Perception, And Group Mixing, Comfort Ohajunwa, Padmanabhan Seshaiyer

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.


In Silico Modelling For The Treatment Of Gastric Cancer, Leonardo F. Martinez, Diana Gamboa, Paul A. Valle 2020 Tijuana Institute of Technology, Mexico

In Silico Modelling For The Treatment Of Gastric Cancer, Leonardo F. Martinez, Diana Gamboa, Paul A. Valle

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.


Dysbiosis In A Canine Model Of Human Fistulizing Crohn's Disease, Ana Maldonado-Contreras, Lluis Ferrer, Caitlin Cawley, Sarah Crain, Shakti Bhattarai, Juan Toscano, Doyle V. Ward, Andrew Hoffman 2020 University of Massachusetts Medical School

Dysbiosis In A Canine Model Of Human Fistulizing Crohn's Disease, Ana Maldonado-Contreras, Lluis Ferrer, Caitlin Cawley, Sarah Crain, Shakti Bhattarai, Juan Toscano, Doyle V. Ward, Andrew Hoffman

Open Access Publications by UMMS Authors

Crohn's disease (CD) is a chronic immune-mediated inflammatory condition caused by the loss of mucosal tolerance toward the commensal microbiota. On average, 29.5% and 42.7% CD patients experience perianal complications at 10 and 20 y after diagnosis, respectively. Perianal CD (pCD) result in high disease burden, diminished quality of life, and elevated health-care costs. Overall pCD are predictors of poor long-term outcomes. Animal models of gut inflammation have failed to fully recapitulate the human manifestations of fistulizing CD. Here, we evaluated dogs with spontaneous canine anal furunculosis (CAF), a disease with clinical similarities to pCD, as a ...


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