bioinformatics — 2019

Team 7: Using Machine Learning to Improve Post-Acute Rehabilitation Process Flow

Develop a prediction model to streamline the transition of care process for hospital patients transitioning into rehabilitation facilities, with the goal of decreasing acute length of stay, facilitating outside referrals when needed and decreasing attrition from our health system.

Project DescriptionsLyda Hill Department of BioinformaticsMay 30, 2019UT Southwestern Medical Centerdeep learning, tumor classification, annotation, image segmentation, hackathon, u-hack med, UT Southwestern Medical Center, Lyda Hill Department of Bioinformatics, bioinformatics, Satwik Rajaram

Team 8: Automated algorithm for detecting and localizing enteric tubes to facilitate accurate and timely radiographic interpretation

Create an image analysis tool to accurately localize enteric tubes and flag potential problems on radiographs in clinical practice.

Project DescriptionsLyda Hill Department of BioinformaticsMay 30, 2019UT Southwestern Medical Centerdeep learning, pathology, tumor classification, annotation, image segmentation, u-hack med, UT Southwestern Medical Center, hackathon, Lyda Hill Department of Bioinformatics, bioinformatics, gaudenz danuser, andrew jamieson

Team 9: Real-Time Cardiac Assessment of Catheterization-Derived Fick and CMR-Derived Flow

Improve workflow, reliability and reproduciblity of interventional cardiac MRI through a web/app-based user-friendly display for real-time assessment.

Project DescriptionsLyda Hill Department of BioinformaticsMay 30, 2019UT Southwestern Medical Centerimage segmentation, machine learning, cardiology, neuroscience, MRI, u-hack med, UT Southwestern Medical Center, hackathon, Lyda Hill Department of Bioinformatics, bioinformatics, albert montillo

Team 11: Optical coherence tomography-angiography in glaucoma

Develop a deep learning tool that will parse OCTA data facilitating diagnosis of early glaucoma and its progression and that will rule out non-glaucoma conditions.

Project DescriptionsLyda Hill Department of BioinformaticsMay 30, 2019UT Southwestern Medical Centernatural language processing, clinical trials, u-hack med, UT Southwestern Medical Center, hackathon, Lyda Hill Department of Bioinformatics, bioinformatics, jeffrey gagan, brandi cantarel, ngs, clia

2019 TEAMS