machine learning — 2019

TEAM 1: Hippocampal oscillatory patterns during associate recognition memory

Investigate hippocampal oscillatory patterns to test predictions of dual process theory to classify recognition versus recollection using memory retrieval data.

Project DescriptionsLyda Hill Department of BioinformaticsMay 30, 2019UT Southwestern Medical Centermachine learning, Team 1, hackathon, u-hack med, UT Southwestern Medical Center, Lyda Hill Department of Bioinformatics, Bo Li, memory retrieval, classifier, bradley lega, srinivas kota, neurosurgery

team 2: A Deep convolutional neural network for identifying thyroid cancer

Develop a more accurate system for identifying thyroid cancer by applying a deep convolutional neural network algorithm to data from a UTSW thyroid cancer database.

Project DescriptionsLyda Hill Department of BioinformaticsMay 30, 2019UT Southwestern Medical Centerhackathon, u-hack med, UT Southwestern Medical Center, Lyda Hill Department of Bioinformatics, fiemu nwariaku, surgery, dcnn, deep learning, neural network, machine learning, thyroid cancer, thyroid nodule

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 12: Rapid evaluation of statistical strategies for predicting interactions and information transfer between proteins

Rapidly organize, statistically describe, and filter data and evaluate the performance of alternative models for phylogenetic correction on a gold-standard test set of protein interaction data.

Project DescriptionsLyda Hill Department of BioinformaticsMay 30, 2019UT Southwestern Medical Centermachine learning, liver disease, clinical staging, lipidomics, UT Southwestern Medical Center, u-hack med, Lyda Hill Department of Bioinformatics, hackathon, molecular genetics, jeffrey mcdonald

2019 TEAMS