A system for monitoring the moisture level and temperature of an adult disposable brief has been designed and tested. The system uses an inexpensive (< $0.05) disposable moisture sensor combined with a re-usable temperature sensor and a Bluetooth Low-Energy transceiver module costing less than $15. The battery lifetime using the CR2032 coin cell is greater than 3 years while sampling data at 10s intervals. This sensor data can be used for monitoring, alerting, statistical analysis, and potentially reducing the incidence of infections. The data can be monitored and processed locally or stored on a server to be analyzed remotely. The prototyped devices were tested and shown to detect as little as 10 mL of tap water when poured into the smart brief. The temperature resolution of less than 0.25° F was observed and a wireless range of 20 m indoors and 100 m outdoors was measured.

Table of contentsI1 Proceedings of the Fifteenth Annual UT- KBRIN Bioinformatics Summit 2016Eric C. Rouchka, Julia H. Chariker, Benjamin J. Harrison, Juw Won ParkP1 CC-PROMISE: Projection onto the Most Interesting Statistical Evidence (PROMISE) with Canonical Correlation to integrate gene expression and methylation data with multiple pharmacologic and clinical endpointsXueyuan Cao, Stanley Pounds, Susana Raimondi, James Downing, Raul Ribeiro, Jeffery Rubnitz, Jatinder LambaP2 Integration of microRNA-mRNA interaction networks with gene expression data to increase experimental powerBernie J Daigle, Jr.P3 Designing and writing software for in silico subtractive hybridization of large eukaryotic genomesDeborah Burgess, Stephanie Gehrlich, John C CarmenP4 Tracking the molecular evolution of Pax geneNicholas Johnson; Chandrakanth EmaniP5 Identifying genetic differences in thermally dimorphic and state specific fungi using in silico genomic comparisonStephanie Gehrlich, Deborah Burgess, John C CarmenP6 Identification of conserved genomic regions and variation therein amongst Cetartiodactyla species using next generation sequencingKalpani De Silva, Michael P Heaton, Theodore S KalbfleischP7 Mining physiological data to identify patients with similar medical events and phenotypesTeeradache Viangteeravat, Rahul Mudunuri, Oluwaseun Ajayi, Fatih Şen, Eunice Y HuangP8 Smart brief for home health monitoringMohammad Mohebbi, Luaire Florian, Douglas J Jackson, John F NaberP9 Side-effect term matching for computational adverse drug reaction predictionsAKM Sabbir, Sally R EllingsonP10 Enrichment vs robustness: A comparison of transcriptomic data clustering metricsYuping Lu, Charles A Phillips, Michael A LangstonP11 Deep neural networks for transcriptome-based cancer classificationRahul K Sevakula, Raghuveer Thirukovalluru, Nishchal K. Verma, Yan CuiP12 Motif discovery using K-means clusteringMohammed Sayed, Juw Won ParkP13 Large scale discovery of active enhancers from nascent RNA sequencingJing Wang, Qi Liu, Yu ShyrP14 Computationally characterizing genomic pipelines and benchmarking results using GATK best practices on the high performance computing cluster at the University of KentuckyXiaofei Zhang, Sally R EllingsonP15 Development of approaches enabling the identification of abnormal gene expression from RNA-Seq in personalized oncologyNaresh Prodduturi, Gavin R Oliver, Diane Grill, Jie Na, Jeanette Eckel-Passow, Eric W KleeP16 Processing RNA-Seq data of plants infected with coffee ringspot virusMichael M Goodin, Mark Farman, Harrison Inocencio, Chanyong Jang, Jerzy W Jaromczyk, Neil Moore, Kelly SovacoolP17 Comparative transcriptomics of three Acinetobacter baumanii clinical isolates with different antibiotic resistance patternsLeon Dent, Mike Izban, Sammed Mandape, Shruti Sakhare, Siddharth Pratap, Dana MarshallP18 Metagenomic assessment of possible microbial contamination in the equine reference genome assemblyM Scotty DePriest, James N MacLeod, Theodore S KalbfleischP19 Molecular evolution of cancer driver genesChandrakant...