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PSM in Biomedical and Health Informatics Program – Internship Presentations
November 12, 2020 @ 9:00 am - 10:30 am
Students in the Professional Science Master’s in Biomedical and Health Informatics Program complete an internship that synthesizes knowledge gleaned from the program curriculum. The purpose of the internship is to expand classroom learning to include “hands-on” experience in health IT.
In this occasion Muhammad Ali and Erin Wallace will be presenting their internship projects via Zoom.
Titles and abstracts below:
Mobile Health (mHealth) App to Support Self-Management of Anxiety and Depression in African American Women: A Usability Study
Presenter: Muhammad Ali
Abstract: African American women experience mental illness at a higher rate than the general population. Previous studies have shown mHealth apps can reduce the incidence in mental illness. Therefore, use of these applications have the potential to increase user engagement and reduce anxiety and depression in African American Women. Earlier this year a usability study was conducted with Dr. Terika McCall and the help of Dr. Saif Khairat as part of the Carolina Applied Informatics Group (CAIR). The study focused on evaluating user interaction (15 participants) with a prototype mHealth app designed to help African American women manage their anxiety/depression. This was done through eye tracking technology and a post study questionnaire to identify app improvements. This presentation will dive into the methodology behind the study and present the results with recommendations to improve the app.
Analysis for Differentially Expressed Genes Present in Patients with Diverticulitis
Presenter: Erin Wallace
Abstract: Quantitative analysis of gene expression is vital for understanding the molecular mechanisms underlying genome regulation. Throughout this internship, quantitative analysis of RNA-seq data from 503 colon tissue samples was completed with computational tools such as Longleaf, RStudio, and Python and algorithms such as STAR and Salmon. These tools are part of a pipeline for quality assessment and processing of RNA-seq data. RNA-seq is a platform for thorough examination of the transcriptome. This pipeline starts from raw sequencing files from the HiSeq 4000 sequencing system and is focused on the identification and analysis of genes that are differentially expressed in population subgroups.