@inproceedings{e8c196ddee0f48d58f580f21657be9f1,
title = "Multiplexed cytokine detection for immunodiagnostics using silicon photonic microring resonator arrays",
abstract = "Latent tuberculosis infection (LTBI) is estimated in one third of the world with 10% proceeding to active tuberculosis (TB). Current diagnostics cannot definitively identify LTBI and assess reactivation risk. We introduce a precision medicine-based approach to LTBI diagnostics that leverages a high-throughput, multiplexed cytokine detection technology and machine learning bioinformatics to reveal LTBI signatures for risk stratification. Cytokines secreted from antigen-challenged peripheral blood mononuclear cells were detected using silicon photonic sensor arrays and multidimensional data correlation of individually-normalized immune responses revealed diagnostic signatures predictive for LTBI status. These results may improve the positive prediction of LTBI status and reactivation risk.",
keywords = "Feature Selection, Immunoassay, Latent Tuberculosis, Microring Resonators",
author = "Robison, {Heather M.} and Patricio Escalante and Enrique Valera and Erskine, {Courtney L.} and Loretta Auvil and Sasieta, {Humberto C.} and Colleen Bushell and Michael Welge and Bailey, {Ryan C.}",
note = "Publisher Copyright: {\textcopyright} 17CBMS-0001.; 21st International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2017 ; Conference date: 22-10-2017 Through 26-10-2017",
year = "2020",
language = "English (US)",
series = "21st International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2017",
publisher = "Chemical and Biological Microsystems Society",
pages = "3--4",
booktitle = "21st International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2017",
}