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Families In Rural Areas Using Telemedicine For Psychiatric, Specialty Care

Mirna Becevic, PhD, an assistant research professor of telemedicine at the School of Medicine, recently was featured in an article by Forbes. Becevic led a study that shows that video-based mental health services are bridging the gap by providing care to underserved areas   http://www.forbes.com/sites/janetwburns/2016/07/05/families-in-rural-areas-using-telemedicine-for-psychiatric-specialty-care/#2746f6334df0

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MUII Defense Announcement – Andrew Hutson

Background: The percentage of patients with polypharmacy needs is increasing among a growing patient population. As a result, the amount of time health care professionals require to make clinical decisions based on current and past medications is increasing. Health care professionals need methods for increasing the speed of clinical decision making without sacrificing the quality

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MUII Defense Announcement – Ginger Han

Biomedical image data have been growing quickly in volume, speed, and complexity, and there is an increasing reliance on the analysis of these data. Biomedical scientists are in need of efficient and accurate analyses of large-scale imaging data, as well as innovative retrieval methods for visually similar imagery across a large-scale data collection to assist

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Botanical treatments to inhibit endometriosis: A next generation RNA-seq data analysis

Endometriosis is a benign but complex gynecologic disorder associated with pelvic pain and infertility and is characterized by the implantation of endometrial tissue outside of the uterus. To date, the reason remains unknown, though the immune dysfunction has been implicated. Hormonal interventions are widely used as effective treatment but with undesirable side effects. Botanical treatments

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Mining for epigenetic patterns across species

Exponential growth of next-generation sequencing technologies has made the epigenomics analysis a big data science, which poses the challenges to its translation into knowledge. This has led to the emergence of a new field called “Comparative Epigenomics.” Comparative epigenomics has three major directions, namely comparison across species, across time-course of a biological process, and across

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Sequence mining of EMR log data to understand clinician workflow

Modeling clinical workflow is an important pre-cursor to understanding how clinicians interact with an EMR and its features. Common methods of assessing clinical workflow include video recording or direct observations, or through directed user experience testing in a controlled environment. Assessing clinical workflow within an EMR can also be accomplished by analyzing EMR log data,

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Transformation of the advance care planning process through the use of an online computer-assisted instruction program and electronic health record enhancements at the University of Missouri

The Institute of Medicine report (1997) defines a good death as “good care at the end of life…depend on strong interpersonal skills, clinical knowledge, and technical proficiency, and it is informed by scientific evidence, values, and personal and professional experience” . With only one-third of Americans having an advance directive , the failure to identify,

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Visualization of Female Breast Cancer Burden in Missouri

Background: In 2011, the female breast cancer incidence rate was about 120 per 100,000 population and the mortality rate was 24 per 100,000 population in Missouri. There is a critical need to build fact sheets in the form of interactive and dynamic map reports of accurate breast cancer burden among Missouri resident women at the

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Baby Genomics: Tracing the Evolutionary Changes That Gave Rise to Placentation

It has long been a challenge to determine the genetic origin of new characters in the evolution. The molecular mechanisms behind many morphological innovations are still unknown, including such striking evolutionary transitions as the appearance of the placenta. Our approach is based on using orthology to link genotype to phenotype. Orthology describes a relation between

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A Computational Pipeline for Comparative Study of Guide RNAs for CRISPR-CAS Genome Editing Systems

CRISPR-Cas (Clustered Regularly Interspaced Short Palindromic Repeats- CRISPR Associated Proteins ) systems were recently developed into genome editing tools. Given their strength in multiplex targeting and  easy programmability, CRISPR-CAS systems are already widely applied in academia and industry. While existing detection approaches could capture CRISPR arrays based on prior knowledge of sequence features, such predicted CRISPR arrays may lack

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