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Artificially Intelligent Nanoarray for the Detection of Preeclampsia under Real‐World Clinical Conditions
Author(s) -
Nakhleh Morad K.,
Baram Shira,
Jeries Raneen,
Salim Raed,
Haick Hossam,
Hakim Marwan
Publication year - 2016
Publication title -
advanced materials technologies
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.184
H-Index - 42
ISSN - 2365-709X
DOI - 10.1002/admt.201600132
Subject(s) - preeclampsia , computer science , data science , pregnancy , information retrieval , biology , genetics
Artificially intelligent nanoarray based on molecularly‐modified gold nanoparticles is tailored for the detection of preeclampsia by noninvasive breathprint analysis. The diagnostic power of the nanoarray under actual clinical conditions shows discrimination between preeclampsia and nonpreeclamptic pregnancy with an 84% accuracy, and between preeclampsia and nonpregnant women with 87% accuracy.