Session D: 3:30PM – 5PM
Health and Medicine. Session D – Poster Presentations, Ballroom, Union
SESSION D (3:30-5:00PM)
Location:Ballroom, A. Ray Olpin University Union
Change of Motion: The Revolutionary Shoulder Brace
Ryland Day, Utah Tech University
Adam Dimaio, Utah Tech University
Justin LeClair, Utah Tech University
Syrus Miner, Utah Tech University
Faculty Mentor: Vinodh Chellamuthu, Utah Tech University
SESSION D (3:30-5:00PM)
POSTER D1
The majority of physical therapy patients do not achieve their desired outcomes. Due to the recent global pandemic, many physical therapy patients were unable to attend appointments and the communication between physical therapists and patients was negatively impacted. This led to patients not knowing what they should be doing to get better or even maintain their progress without the correct equipment. New and improved remote and virtual meeting technologies have the potential to make physical therapy more convenient and accessible. We plan to develop a method to increase the number of patients reaching a positive result with their physical therapy through modern technologies; a smart at home physical therapy product that is paired with an app along with a box of equipment and supplements specific to the needs of the patient’s area of focus. Each part of this product will give patients the necessary aids to achieve their long-term physical therapy goals. Advances in technology can bring the physical therapists and the patients closer together with the ability to click on an assigned exercise and learn how it needs to be done with a video or recording would be a game changer for a lot of recovering patients. Having access to the right equipment or supplements to help the healing process advance would be very beneficial as well. This is a preliminary idea within our interdisciplinary group of a mechanical engineer, biomedical science, and computer science background.
A Transcriptomic Analysis of Triple Negative Breast Cancer Revealing Alternative Drug Therapeutics
Mauri Dobbs, Brigham Young University
Faculty Mentor: Brett Pickett, Brigham Young University
SESSION D (3:30-5:00PM)
POSTER D2
Breast cancer is the most common tumor type in men and women combined; this year the National Cancer Institute estimates there will be 290,560 new cases in the United States and 43,780 deaths (2022). Additionally, it has heightened risk for metastasis after neoadjuvant chemotherapy (defined as chemotherapy followed by surgical extraction of the tumor) compared to non-TNBC (Liedtke 2014) and the post-surgical recurrence rate of TNBC is as much as 25% (Yin 2020). The poor prognosis and low success rate of surgical treatment and chemotherapy underline the necessity of new treatment options. Discovery of new drugs would enable better treatment of TNBC and could greatly improve patient survival. Using a computational workflow, Automated Reproducible MOdular Workflow for Preprocessing and Differential Analysis of RNA-seq Data (A