Feb. 16, 2022
Modeling Pyrus calleryana spread in central Missouri using remote sensing and a non-parametric modeling approach
Invasive species pose a unique threat to native species and habitat through direct and indirect competition of resources. Management of invasive species depends on precise identification of their current range and knowledge of how they spread. This project will utilize Plantescope Satellite Imagery to identify the presence of Callery Pear, an invasive ornamental tree species in Missouri. The unique phenology of the Callery Pear should allow for precise identification through Random Forest classification of the imagery. After identification, a logistic model will be built to predict the presence or absence of Callery Pear in the landscape based on a variety…
Feb. 16, 2022
Developing a Web-Based Interface to Manage Sensor Technologies in the Homes of Older Adults
Internet of Things sensors capture daily activities and physiological data that can improve care for older adults. Sensors have the potential to enable health coaching for self-management and care coordination by connecting individuals to care providers and informal caregivers. However, remote management of diverse sensor technologies and integration of disparate data for decision-making are major barriers to this goal. Our aim is to support community-based intervention research through the design of a web-based interface management system for smart home and wearable technologies in the haomes of older adults. The Age-Friendly Sustainable Smart and Equitable Technologies (ASSETs) dashboard relies on low-cost Raspberry Pi…
Feb. 10, 2022
The impact of treatment adjustment in breast cancer by Cerner Real-World Data during pandemic
The global burden of the ongoing COVID-19 pandemic has predominantly been measured using metrics like case numbers, hospitalizations and deaths. However, the short-term health impacts are more difficult to capture, especially for breast cancer(BC) patients. An expert opinion formulated by multiple national organizations provided preliminary guidance on the prioritization and treatment of breast cancer(BC) during this covid outbreak. Most breast surgery and adjuvant treatment for malignant conditions have been postponed or adjusted. As we know, BC treatment is time-dependent. How standard treatment modifications and surgery postponement would affect BC patients are unknown. Currently, there is no research that has applied…
Jan. 14, 2022
The Soybean Allele Catalog Tool: A Web-Based Interactive Tool for Gene Alleles Discovery
The advancement of sequencing technologies has made a plethora of whole genome sequenced (WGS) data publicly available. However, utilizing the raw WGS data will not generate promising research outcomes for agriculture. To solve this problem, the Soybean Allele Catalog Tool (https://soykb.org/SoybeanAlleleCatalogTool/search.php) has been developed to assist researchers in gaining insights into soybean genotypes associated with phenotypes and selecting accessions based on comprehensive soybean SNPs and InDels data organized into alleles of genes. A variant calling pipeline (SnakyVC, https://github.com/yenon118/snakyVC) and an Allele Catalog pipeline (AlleleCatalog, https://github.com/yenon118/AlleleCatalog) were developed to prepare the datasets for the tool. The variant calling pipeline processes…
Nov. 11, 2021
An Evaluation of an Electronic Medical Record (EMR) Based System to Characterize and Correlate Physician Burnout and EMR Use
Burnout disproportionately affects healthcare workers and continues to rise, contributing to cost, quality, and patient safety risk in an already overburdened United States healthcare system. While the causes of burnout are complex, evidence suggests that Electronic Medical Record use (EMR) is one major contributor due to the increased clerical burden that decreases patient contact time and disrupts the provider clinical workflow. The challenge of improving the physician EMR experience is exacerbated both by variability across venues and specialty. Targeted training and optimization efforts are generally deployed one-time at a clinic or specialty level but are challenging to deploy longitudinally and in surveillance mode due to the cost and effort of administering traditional survey instruments. To address this…
Nov. 8, 2021
Understanding Common Key Indicators of Successful and Unsuccessful Cancer Drug Trials Using Contrast Mining
Clinical trials are essential in the process of new drug development. As clinical trials involve significant investments of time and money, it is crucial for trial designers to carefully investigate trial settings prior to designing the trial. Utilizing trial documents from ClinicalTrials.gov, we aim at understanding common characteristics of successful and unsuccessful cancer drug trials to provide insights about what to learn and what to avoid. In this research, we first computationally classified cancer drug trials into successful and unsuccessful cases and then utilized natural language processing to extract information of eligibility criteria from the trial documents. Contrast mining was…
Nov. 4, 2021
Do viruses experience culture shock?
Viruses have the potential to cause enormous health, social, and economic burdens. These burdens are demonstrated by influenza viruses, which cause seasonal epidemics, and SARS-CoV-2 viruses, which caused the ongoing COVID-19 pandemic resulting in over 4.55 million deaths. Virus research and vaccine strain selection often require viruses to be propagated in cell lines or embryonated chicken eggs. However, viruses may acquire culture-adapted mutations during this process, biasing our understanding of the viruses and consequently affecting disease prevention and control strategies. We determined whether culture-adaptations occur during influenza B virus (IBV) and SARS-CoV-2 virus propagation and their phenotypic implications. To do this,…
Oct. 27, 2021
A COVID-19 Geospatial Population Health Risk Assessment for Missouri
Aim: Design and analyze a multifactor spatial database to assess COVID-19 risk across individual, community, social, infrastructure and culture contexts at the county level to provide quantitative insight and statistical support for potential mitigation areas. Methods: COVID-19 studies require vast amounts of integrated data to create understanding. MU’s Geospatial Analytical Research Knowledgebase (GeoARK) is a spatially integrated database to support spatial and contextual analytics. Utilizing GeoARK we created six distinct risk databases covering individual susceptibility; transmission; socioeconomic; accessibility; health culture; and exposure. Ordinary least squares regression was used to evaluate combinations of explanatory variables. Selected variables within each risk category…
Oct. 27, 2021
SEE-Diabetes, a Patient-Centered Diabetes Self-Management Education and Support for Older Adults: Findings and Information Needs from Patients’ Perspectives
Objectives: This study seeks to understand the information needs of people with diabetes aged 65 and older gathered through survey and focus groups to inform development of an educational decision aid, SEE-Diabetes (Support-Engage-Empower-Diabetes). The SEE-Diabetes aid provides patient-centered self-management education and support for older people with diabetes. Methods: We surveyed 82 University of Missouri Health Care patients with diabetes Thirty seven surveys were completed. The survey collected demographics, diabetes duration, insulin usage, and the accessibility of clinic notes through a patient portal. For focus groups, nine participants aged 65 and over accepted an invitation to participate. We asked participants to evaluate three randomly selected deidentified representative clinic…