Investigate hippocampal oscillatory patterns to test predictions of dual process theory to classify recognition versus recollection using memory retrieval data.
Read MoreDevelop a more accurate system for identifying thyroid cancer by applying a deep convolutional neural network algorithm to data from a UTSW thyroid cancer database.
Read MoreDevelop smart insoles to measure post-operative patient data and transmit via smart phone app to cloud storage for physician office for data analysis.
Read MoreTest an approach to development of a label-free alternative to the FUCCI probe for detection of cell cycle state using a convolutional neuronal network that classifies label-free images as corresponding to a particular cell cycle phase.
Read MoreCreate analytical tools to stratify lupus patients into subsets based on significant differences in genetics and clinical characteristics.
Read MoreMaximize utility of gene ontology analysis thru creation of a genome browser track making protein isoform prediction accessible to the broader biomedical research community.
Read MoreDevelop 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.
Read MoreCreate an image analysis tool to accurately localize enteric tubes and flag potential problems on radiographs in clinical practice.
Read MoreImprove workflow, reliability and reproduciblity of interventional cardiac MRI through a web/app-based user-friendly display for real-time assessment.
Read MoreDerive an optimally accurate prediction rule for 48-hour severe adverse events in acute pulmonary embolism patients.
Read MoreDevelop 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.
Read MoreRapidly 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.
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