Innovations In Surgery Between The Past And Future: A Narrative Review Of Targeted Literature, Obada Hasan, Ahmed Ayaz, Laiba Masood, Abdul Mannan Baig, Naveed Baloch

Medical College Documents

Innovation is the introduction of a new method or technology designed to change the way things are done. History is full of remarkable innovations in surgery over the years as surgeons have always been innovating and pioneering latest techniques and equipment that can benefit the mankind. Though persistent, progress has been far from uniform. Despite all the bells and whistles that these innovations bring to the table, the little acknowledged fact is that they are only accessible to a very small proportion of the global population. Five billion people on this planet do not even have access to an operating …

Patterns Of Genomic Testing For Epithelial Ovarian Cancer Across A Large Community-Based Health Care Network- A Real World Experience, Nicole M. Kretzer, Fernanda B. Musa, Christopher Darus, Nancy Biery, Roshanthi Weerasinghe, Grace Li, Ann Vita, Shwetha Pindikuri, Amy S. Parrish, Charles W Drescher

All Podium Presentations

Background: NCCN guidelines recommend germline and somatic tumor testing for all women with invasive epithelial ovarian cancer (EOC). Despite this recommendation, testing rates remain low and an optimal strategy to achieve the recommended testing has not been defined.

Purpose: We elected to review the patterns of germline and somatic tumor testing for patients with EOC across a large health care network to identify barriers to testing.

Methods: Clinical, pathologic, demographic and genomic testing (GT) information including involvement of a genetic counselor, specific test(s) ordered, test vendor, test turn-around time, and test results were obtained from the diverse dataset within the …

A Novel Framework To Estimate Cognitive Impairment Via Finger Interaction With Digital Devices, Ashley A Holmes, Shikha Tripathi, Emily Katz, Ijah Mondesire-Crump, Rahul Mahajan, Aaron Ritter, Teresa Arroyo-Gallego, Luca Giancardo

Faculty, Staff and Student Publications

Measuring cognitive function is essential for characterizing brain health and tracking cognitive decline in Alzheimer's Disease and other neurodegenerative conditions. Current tools to accurately evaluate cognitive impairment typically rely on a battery of questionnaires administered during clinical visits which is essential for the acquisition of repeated measurements in longitudinal studies. Previous studies have shown that the remote data collection of passively monitored daily interaction with personal digital devices can measure motor signs in the early stages of synucleinopathies, as well as facilitate longitudinal patient assessment in the real-world scenario with high patient compliance. This was achieved by the automatic discovery …

A Review Of Mobile Apps For Chronic Kidney Disease Patients, Clarisse Zigan, Carl Russell Iii, Kirsten Wozniak, Kshaunish Soni

The Journal of Purdue Undergraduate Research

No abstract provided.

Usability And Acceptability Of A Mobile App For Behavior Change And To Improve Immunization Coverage Among Children In Pakistan: A Mixed-Methods Study, Abdul Momin Kazi, Nazia Ahsan, Waliyah Mughis, Saima Jamal, Raheel Allana, Mehreen Raza, Sahrish Muneer, Muhammad Ayub Khan Mughal, Hussain Kalimuddin, Fareeha Sameen

Department of Paediatrics and Child Health

Background: Pakistan's immunization uptake rates are still significantly lower than anticipated despite several initiatives. Lack of awareness, forgetting about vaccination schedule, and vaccine misconception/misinformation are a few of the major drivers that mitigate the rates of immunization. The current COVID-19 pandemic emphasizes the importance of immunization. The significant reductions in regular childhood vaccination during pandemic have increased the risk of outbreaks of vaccine-preventable diseases. Concerns among parents over possibly exposing their children to COVID-19 during child visits may have contributed to the reported declines. Innovative and cost-effective mHealth interventions must be implemented in order to address the problem of inadequate …

Administrative Coding In Electronic Health Care Record-Based Research Of Nafld: An Expert Panel Consensus Statement, Hannes Hagström, Leon A Adams, Alina M Allen, Christopher D Byrne, Yoosoo Chang, Henning Grønbaek, Mona Ismail, Peter Jepsen, Fasiha Kanwal, Jennifer Kramer, Jeffrey V Lazarus, Michelle T Long, Rohit Loomba, Philip N Newsome, Ian A Rowe, Seungho Ryu, Jörn M Schattenberg, Marina Serper, Nick Sheron, Tracey G Simon, Elliot B Tapper, Sarah Wild, Vincent Wai-Sun Wong, Yusuf Yilmaz, Shira Zelber-Sagi, Fredrik Åberg

Faculty, Staff and Students Publications

BACKGROUND AND AIMS: Electronic health record (EHR)-based research allows the capture of large amounts of data, which is necessary in NAFLD, where the risk of clinical liver outcomes is generally low. The lack of consensus on which International Classification of Diseases (ICD) codes should be used as exposures and outcomes limits comparability and generalizability of results across studies. We aimed to establish consensus among a panel of experts on ICD codes that could become the reference standard and provide guidance around common methodological issues.

APPROACH AND RESULTS: Researchers with an interest in EHR-based NAFLD research were invited to collectively define …

The Age Of Artificial Intelligence: Use Of Digital Technology In Clinical Nutrition, Berkeley K. Limketkai, Kasuen Mauldin, Natalie Manitius, Laleh Jalilian, Bradley R. Salonen

Faculty Research, Scholarly, and Creative Activity

Purpose of review

Computing advances over the decades have catalyzed the pervasive integration of digital technology in the medical industry, now followed by similar applications for clinical nutrition. This review discusses the implementation of such technologies for nutrition, ranging from the use of mobile apps and wearable technologies to the development of decision support tools for parenteral nutrition and use of telehealth for remote assessment of nutrition.

Recent findings

Mobile applications and wearable technologies have provided opportunities for real-time collection of granular nutrition-related data. Machine learning has allowed for more complex analyses of the increasing volume of data collected. The …

Exploring The Usefulness Of Mindfulness Practices Through Zoom Meetings In Reducing Anxiety And/Or Stress Of Adults With Learning And Developmental Disabilities During The Covid-19 Pandemic, Thatiane Abra

Expressive Therapies Capstone Theses

This thesis explored which mindfulness meditations or mindfulness practices could be beneficial in the online sessions, the extent to which adults with learning and developmental disabilities could learn the practices remotely, and how stress and anxiety disorders could be reduced through online mindfulness interventions. Furthermore, it was also necessary to address the online sessions as the only mental health treatment possibility during the Coronavirus pandemic for the clients observed and the benefits and limitations of these interventions. Additionally, the importance of structure and routine for this population, the multi-modal structure of the interventions, and how attunement plays an important role …

The Probability Of Success-Through Fault Tree Analytical Binomial Result, Tyleka Riddle

Night Flight: Online Literary Journal

Prestigious Appeal Rule of Thumb (Ear Drum Plugs)

In truant fashion, with proven accidental probabilistic perception for proposed cued facial expression recognition and voice commands without filtering. The estimated cost analysis for design and development generated from the enhanced project in the word "no”: Additionally, an audio noise effect size (ES) for desired level of comprehensive sensory receptors in sound reference to noisy party syndrome. Sytoss, (2019) "Resulting in a cocktail party theory for chalkboard distinction and conversation with applied facial recognition. As well as, the enhanced project management tool, EPMT, to provide output and input determination for higher-level acoustic …

Reach, Effectiveness, Adoption, And Maintenance Of Mobile Electronic Clinical Decision Support Tools Deployed As Part Of National Quality Improvement Projects, Ellen K. Kerns

Theses & Dissertations

Electronic clinical decision support (ECDS) tools are often developed within quality improvement (QI) projects to increase adherence with the latest clinical practice guidelines. However, the potential reach and maintenance of ECDS use beyond the time and location of their associated project are very limited. Deploying ECDS using a mobile app (mECDS) has shown the potential to be a viable method of overcoming these limitations. However, it is unclear what pattern the reach and adoption of such a tool might follow and what effect this use has on clinical practice. Our team developed an app which contained two different mECDS tools …

H1n1 Influenza Virus (Swine Flu): A Comprehensive Insight Into Escalating Catch-22 Scenarios, Muhammad Shahzaib, Ehsan Ul Haq

The University of Louisville Journal of Respiratory Infections

Introduction: Viruses have always been a major cause of various disastrous pandemics in mankind’s history. H1N1 became a threat when its original strain was first discovered back in the swine flu pandemic of 2009. It became highly catastrophic on a large scale because none of the therapeutic interventions and methodologies that were already present at the time were effective against the virus.

Methods: A vast amount of literature and research is available regarding H1N1 influenza from different reputable sources online. The data were gathered with the contrasting and relative situations of 1918 and 2009 pandemics in mind. The overall extracted …

Text Mining To Identify The Origin Of Chronic Wasting Disease, G. Webb

Faculty Research, Scholarly, and Creative Activity

Chronic wasting  disease (CWD)  is  a 100  percent  fatal,  prion  disease of  deer  that  has  the potential  to decimate  the  deer  population and  jump to  the  human  population.   A  simple  Google  search on  the  “origin of  chronic wasting  disease” yielded  a total  of  56  relevant  articles.   Of  these,  75  percent  report  that  the origin  is  unknown,  19.6  percent  report  that  the  disease  may  have  originated  in  a  Fort  Collins,  Colorado, government  research facility, and 5.4 percent  report  other  possible  origins.  Government  sources  reported the  Fort  Collins  theory  4.3 percent  of  the  time  while  non-governmental  sources,  such  as news articles, reported …

Outlier Concepts Auditing Methodology For A Large Family Of Biomedical Ontologies, Ling Zheng, Hua Min, Yan Chen, Vipina Keloth, James Geller, Yehoshua Perl, George Hripcsak

Publications and Research

Background: Summarization networks are compact summaries of ontologies. The “Big Picture” view offered by summarization networks enables to identify sets of concepts that are more likely to have errors than control concepts. For ontologies that have outgoing lateral relationships, we have developed the "partial-area taxonomy" summarization network. Prior research has identified one kind of outlier concepts, concepts of small partials-areas within partial-area taxonomies. Previously we have shown that the small partial-area technique works successfully for four ontologies (or their hierarchies).

Methods: To improve the Quality Assurance (QA) scalability, a family-based QA framework, where one QA technique is potentially applicable to …

Missing Lateral Relationships In Top‑Level Concepts Of An Ontology, Ling Zheng, Yan Chen, Hua Min, P. Lloyd Hildebrand, Hao Liu, Michael Halper, James Geller, Sherri De Coronado, Yehoshua Perl

Publications and Research

Background: Ontologies house various kinds of domain knowledge in formal structures, primarily in the form of concepts and the associative relationships between them. Ontologies have become integral components of many health information processing environments. Hence, quality assurance of the conceptual content of any ontology is critical. Relationships are foundational to the definition of concepts. Missing relationship errors (i.e., unintended omissions of important definitional relationships) can have a deleterious effect on the quality of an ontology. An abstraction network is a structure that overlays an ontology and provides an alternate, summarization view of its contents. One kind of abstraction network is …

Validity And Reliability Of Physiological Data In Applied Settings Measured By Wearable Technology: A Rapid Systematic Review, Bryson Carrier, Brenna Barrios, Brayden D. Jolley, James W. Navalta

Kinesiology and Nutrition Sciences Faculty Research

The purpose of this review was to evaluate the current state of the literature and to identify the types of study designs, wearable devices, statistical tests, and exercise modes used in validation and reliability studies conducted in applied settings/outdoor environments. This was performed according to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines. We identified nine articles that fit our inclusion criteria, eight of which tested for validity and one tested for reliability. The studies tested 28 different devices with exercise modalities of running, walking, cycling, and hiking. While there were no universally common analytical techniques used …

A Neutrosophic Clinical Decision-Making System For Cardiovascular Diseases Risk Analysis, Florentin Smarandache, Shaista Habib, Wardat-Us- Salam, M. Arif Butt, Muhammad Akram

Branch Mathematics and Statistics Faculty and Staff Publications

Cardiovascular diseases are the leading cause of death worldwide. Early diagnosis of heart disease can reduce this large number of deaths so that treatment can be carried out. Many decision-making systems have been developed, but they are too complex for medical professionals. To target these objectives, we develop an explainable neutrosophic clinical decision-making system for the timely diagnose of cardiovascular disease risk. We make our system transparent and easy to understand with the help of explainable artificial intelligence techniques so that medical professionals can easily adopt this system. Our system is taking thirtyfive symptoms as input parameters, which are, gender, …

Combining Deep Learning With Token Selection For Patient Phenotyping From Electronic Health Records., Zhen Yang, Matthias Dehmer, Olli Yli-Harja, Frank Emmert-Streib

Articles, Abstracts, and Reports

Artificial intelligence provides the opportunity to reveal important information buried in large amounts of complex data. Electronic health records (eHRs) are a source of such big data that provide a multitude of health related clinical information about patients. However, text data from eHRs, e.g., discharge summary notes, are challenging in their analysis because these notes are free-form texts and the writing formats and styles vary considerably between different records. For this reason, in this paper we study deep learning neural networks in combination with natural language processing to analyze text data from clinical discharge summaries. We provide a detail analysis …

Global Interest For Health Professions Education: A Geographic And Temporal Analyses Through Web Search Differences From 2010-2019, Junhel Dalanon, Yoshizo Matsuka

Internet Journal of Allied Health Sciences and Practice

Purpose: The purpose of this study was to analyze the spatio-temporal differences in web search trends for dental degrees (DD), medical degrees (MD), and nursing degrees (ND) across 197 countries from 2010 to 2019. Method: A search string was used to initiate a search query using Google Trends. The parameters used were DD, MD, and ND as search terms; worldwide as Location; 2010 to 2019 as time range; health education & medical training as category; and web search as database. Data were downloaded and analyzed. Results: Via one-way ANOVA and post hoc Dunnett test, the searches for DD were found …

What Do Faculties Specializing In Brain And Neural Sciences Think About, And How Do They Approach, Brain-Friendly Teaching-Learning In Iran?, Sahar Ghanbari, Fariba Haghani, Malahat Akbarfahimi

Journal of Mind and Medical Sciences

Objective: to investigate the perspectives and experiences of the faculties specializing in brain and neural sciences regarding brain-friendly teaching-learning in Iran. Methods: 17 faculties from 5 universities were selected by purposive sampling (2018). In-depth semi-structured interviews with directed content analysis were used. Results: 31 sub-subcategories, 10 subcategories, and 4 categories were formed according to the “General teaching model”. “Mentorship” was a newly added category. Conclusions: A neuro-educational approach that consider the roles of the learner’s brain uniqueness, executive function facilitation, and the valence system are important to learning. Such learning can be facilitated through cognitive load considerations, repetition, deep questioning, …

Statistical Methods For Joint Analysis Of Multiple Phenotypes And Their Applications For Phewas, Xueling Li

Dissertations, Master's Theses and Master's Reports

Genome-wide association studies (GWAS) have successfully detected tens of thousands of robust SNP-trait associations. Earlier researches have primarily focused on association studies of genetic variants and some well-defined functions or phenotypic traits. Emerging evidence suggests that pleiotropy, the phenomenon of one genetic variant affects multiple phenotypes, is widespread, especially in complex human diseases. Therefore, individual phenotype analyses may lose statistical power to identify the underlying genetic mechanism. Contrasting with single phenotype analyses, joint analysis of multiple phenotypes exploits the correlations between phenotypes and aggregates multiple weak marginal effects and is therefore likely to provide new insights into the functional consequences …

Phr: Patient Health Record, Quinn Nelson

Theses/Capstones/Creative Projects

The rapid development of information technology systems has expanded into multiple disciplines and results in systems that are limited by initial design and implementation: the Healthcare Information Technology (HIT) space is no different. The introduction of the Electronic Health Record (EHR) system has changed the way healthcare operates. Initial designs of these systems were focused on serving the needs of insurance companies and healthcare billing departments. Research shows that the design of EHR systems negatively impact provider-patient interactions and the care they receive. This capstone project capitalizes on the collaboration efforts between UNO and UNMC – by joining a research …

Safety, Stephen M. Vantassel, Brenda K. Osthus

Wildlife Damage Management Technical Series

Wildlife damage management (WDM) is an exciting field with many opportunities to provide solutions to the complex issues involved in human-wildlife interactions. In addition, WDM wildlife control operators (WCO) face a variety of threats to their physical well-being. Injuries can result from misused (Figure 1), faulty, or poorly maintained equipment, inexperience, mishandled wildlife, harsh weather, and dangerous situations, such as electrical lines. The goals of this publication are to: * Develop an awareness of safety issues and adopt a mindset of “Safety First”, * Review the major safety threats that WCOs face, * Provide basic information for WCOs to protect …

Validity And Reliability Of The Ymca Submaximal Cycle Test Using An Electrically Braked Ergometer, Justin Kidd

Senior Honors Projects, 2010-2019

Purpose: To test the effect of using an electrically braked ergometer on the validity and reliability of the YMCA submaximal cycle test.

Methods: 22 male and 13 female subjects ages 19 to 31 completed one maximal treadmill test and four submaximal cycle tests to measure and estimate VO_2max, respectively. The maximal tests involved recording heart rate and VO₂ during graded exercise until volitional fatigue; an actual max was verified when two out of the following criteria: respiratory Exchange Ratio > 1.1, VO₂ plateau (< 150 ml/min increase in VO₂ during final stage), and achievement of 90% age-predicted HR max (or completed …

Target Engagement Imaging Of Parp Inhibitors In Small-Cell Lung Cancer, Brandon Carney, Susanne Kossatz, Benjamin H. Lok, Valentina Schneeberger, Kishore K. Gangangari, Naga Vara Kishore Pillarsetty, Wolfgang A. Weber, Charles M. Rudin, John T. Poirier, Thomas Reiner

Publications and Research

Insufficient chemotherapy response and rapid disease progression remain concerns for smallcell lung cancer (SCLC). Oncologists rely on serial CT scanning to guide treatment decisions, but this cannot assess in vivo target engagement of therapeutic agents. Biomarker assessments in biopsy material do not assess contemporaneous target expression, intratumoral drug exposure, or drug-target engagement. Here, we report the use of PARP1/2-targeted imaging to measure target engagement of PARP inhibitors in vivo. Using a panel of clinical PARP inhibitors, we show that PARP imaging can quantify target engagement of chemically diverse small molecule inhibitors in vitro and in vivo. We measure PARP1/2 inhibition …

Systematic Review And Meta-Analysis: Tuberculosis, Tnfα Inhibitors, And Crohn's Disease, Brent L. Cao

Honors Undergraduate Theses

Inflammation is often a protective reaction against harmful foreign agents. However, in many disease conditions, the mechanisms behind the inflammatory response are poorly understood. Often times, the inflammation causes adverse effects, such as joint pain, abdominal pain, fever, fatigue, and loss of appetite. Thus, many treatments aim to inhibit the inflammatory response in order to control adverse symptoms. Such treatments include TNFα inhibitors. However, a major risk associated with drugs inhibiting tumor necrosis factor alpha (TNFα) is serious infection, including tuberculosis (TB).

Anti-TNFα therapy is used to treat patients with Crohn’s disease, for which the risk of tuberculosis may be …

Impact Of Terminology Mapping On Population Health Cohorts Impact, Barbara A. Berkovich

Dissertations and Theses (Open Access)

Background and Objectives: The population health care delivery model uses phenotype algorithms in the electronic health record (EHR) system to identify patient cohorts targeted for clinical interventions such as laboratory tests, and procedures. The standard terminology used to identify disease cohorts may contribute to significant variation in error rates for patient inclusion or exclusion. The United States requires EHR systems to support two diagnosis terminologies, the International Classification of Disease (ICD) and the Systematized Nomenclature of Medicine (SNOMED). Terminology mapping enables the retrieval of diagnosis data using either terminology. There are no standards of practice by which to evaluate and …

Gender Differences In Virologic Response After Antiretroviral Therapy In Treatment-Naïve Hiv-Infected Individuals: Results From The 550 Clinic Hiv Cohort Study., Andrea Reyes-Vega, Alejandra Loban, Kavitha Srinivasan, Stephen P. Furmanek, Conner English, Mary Bishop, Cathy Spencer, Daniel Truelove, Julio A. Ramirez, Anupama Raghuram, Paula Peyrani

Faculty and Staff Scholarship

Background

Controversy still exists regarding gender differences in virologic response between treatment-na•ve HIV-infected individuals. The objective of this study was to evaluate gender difference in virologic and immunologic response to antiretroviral therapy in treatment-na•ve HIV-infected individuals. Methods

This was a retrospective, observational study of treatment-na•ve HIV-infected individuals managed at the 550 clinic who started antiretroviral therapy (ART) between January 1st, 2010 and December 31, 2015. Patients with available viral load and CD4 counts before and one year after initiating ART were included in this study. Virologic suppression was defined as < 48 HIV-1 RNA copies/mL, and mmunologic recovery was defined as a CD4 count increase of at least 150 cells/mm3. Dichotomous variables were reported in number and percentages and analyzed using Chi-squared tests and Fisher’s exact (whichever was appropriate). Continuous variables were reported as median and interquartile range (IQR) and analyzed using Wilcox rank-sum tests. Multivariate analyses performed were logistic regressions with adjustment for other covariates. P value <0.05 was considered statistically significant. R version 3.3.2 was used for the statistical analysis. Results

A total of 70 women and 90 men were included …

The Motor Cortical Representation Of A Muscle Is Not Homogeneous In Brain Connectivity, Jo Armour Smith, Alaa Albishi, Sarine Babikian, Skulpan Asavasopon, Beth E. Fisher, Jason Kutch

Physical Therapy Faculty Articles and Research

Functional connectivity patterns of the motor cortical representational area of single muscles have not been extensively mapped in humans, particularly for the axial musculature. Functional connectivity may provide a neural substrate for adaptation of muscle activity in axial muscles that have both voluntary and postural functions. The purpose of this study was to combine brain stimulation and neuroimaging to both map the cortical representation of the external oblique (EO) in primary motor cortex (M1) and supplementary motor area (SMA), and to establish the resting-state functional connectivity associated with this representation. Motor evoked potentials were elicited from the EO muscle in …

Sms Parent Action Intervention (Span): A Pilot Study To Assess The Feasibility Of Using Text Messaging To Promote Child Health On An American Indian Reservation, Julia M. Malich

Graduate Student Theses, Dissertations, & Professional Papers

Abstract

Purpose: Childhood obesity and its associated health risks are widely recognized as a major public health crisis in the United States (Johnson & Johnson, 2014; Proctor, 2008; Rogers et al, 2013; Vinci et al, 2016) and worldwide (Elías-Boneta, Toro, Garcia, Torres, & Palacios, 2015). Among children in low-income families, American Indian/Alaska Native (AIAN) children have the highest prevalence of obesity (21.1%) compared to other racial/ethnic groups (14.74% overall) (Pan et al, 2015). Parents play an important role in introducing healthy foods and encouraging physical activity in young children (Birch & Ventura, 2009; Lindsay et al., 2006; Natale et al., …

Improved Genome-Scale Multitarget Virtual Screening Via A Novel Collaborative Filtering Approach To Cold-Start Problem, Hansaim Lim, Paul Gray, Lei Xie, Aleksandar Poleksic

Publications and Research

Conventional one-drug-one-gene approach has been of limited success in modern drug discovery. Polypharmacology, which focuses on searching for multi-targeted drugs to perturb disease-causing networks instead of designing selective ligands to target individual proteins, has emerged as a new drug discovery paradigm. Although many methods for single-target virtual screening have been developed to improve the efficiency of drug discovery, few of these algorithms are designed for polypharmacology. Here, we present a novel theoretical framework and a corresponding algorithm for genome-scale multitarget virtual screening based on the one-class collaborative filtering technique. Our method overcomes the sparseness of the protein-chemical interaction data by …