journal article·2016-12

Artificially Intelligent Nanoarray for the Detection of Preeclampsia under Real‐World Clinical Conditions

Morad K. Nakhleh, Shira Baram, Raneen Jeries, Raed Salim, Hossam Haick, Marwan Hakim

Advanced Materials Technologies· Volume 1· Issue 9
Publisher page

Abstract

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. As a service to our authors and readers, this journal provides supporting information supplied by the authors. Such materials are peer reviewed and may be re-organized for online delivery, but are not copy-edited or typeset. Technical support issues arising from supporting information (other than missing files) should be addressed to the authors. Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.
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Research context

OpenAlex topics: Advanced Chemical Sensor Technologies · Gas Sensing Nanomaterials and Sensors · Advanced biosensing and bioanalysis techniques

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Chemical Engineering and the Russell Berrie Nanotechnology Institute Technion ‐ Israel Institute of Technology Haifa 3200003 Israel

Department of Obstetrics and Gynecology Emek Medical Center Afula 18101 Israel

Rappaport Family Faculty of Medicine Technion—Israel Institute of Technology Haifa 31096 Israel

Department of Obstetrics and Gynecology Nazareth Hospital EMMS Nazareth 16000 Israel

Faculty of Medicine in the Galilee Bar‐Ilan University Ramat‐Gan 5290002 Israel

References (34)

Show source-provided references
1. 10.1038/ajh.2008.2010.1038/ajh.2008.20 ↗
2. 10.1111/j.1471-0528.1992.tb13818.x10.1111/j.1471-0528.1992.tb13818.x ↗
3. 10.1097/AOG.0b013e3181a45b2510.1097/AOG.0b013e3181a45b25 ↗
4. 10.1373/clinchem.2009.13408010.1373/clinchem.2009.134080 ↗
5. North R. A. · BMJ · 2011 · 7 · 342:d1875
6. 10.1038/jhh.2009.4510.1038/jhh.2009.45 ↗
7. Amann A. · Eur. Respir. Soc. Monogr. · 2010 · 49 · 96
8. 10.2217/nnm.13.6410.2217/nnm.13.64 ↗
9. 10.1039/C3CS60329F10.1039/C3CS60329F ↗
10. 10.2217/nnm.14.12110.2217/nnm.14.121 ↗
11. 10.1021/cr300174a10.1021/cr300174a ↗
12. Tisch U. · 2013 · 43
13. 10.1021/cn200060310.1021/cn2000603 ↗
14. 10.1016/j.ajog.2003.11.00810.1016/j.ajog.2003.11.008 ↗
15. 10.1021/nl404335p10.1021/nl404335p ↗
16. 10.1021/nl504482t10.1021/nl504482t ↗
17. 10.1002/smll.20150190410.1002/smll.201501904 ↗
18. Barash O. · 2012 · 580
19. 10.1021/ar400070m10.1021/ar400070m ↗
20. 10.1183/09031936.0001911410.1183/09031936.00019114 ↗
21. 10.1016/j.parkreldis.2014.11.02310.1016/j.parkreldis.2014.11.023 ↗
22. 10.1002/adhm.20160058810.1002/adhm.201600588 ↗
23. 10.1021/jp105810w10.1021/jp105810w ↗
24. 10.1038/nnano.2009.23510.1038/nnano.2009.235 ↗
25. 10.1021/jp302601310.1021/jp3026013 ↗
26. 10.1021/am201369510.1021/am2013695 ↗
27. 10.1038/sj.bjc.660581010.1038/sj.bjc.6605810 ↗
28. 10.1097/01.AOG.0000437382.03963.8810.1097/01.AOG.0000437382.03963.88 ↗
29. 10.1136/gutjnl-2014-30853610.1136/gutjnl-2014-308536 ↗
30. Breteton R. G. · J. Chemom. · 1990 · 6 · 228
31. 10.1093/ajcn/81.5.121810.1093/ajcn/81.5.1218 ↗
32. 10.2147/IJWH.S4211010.2147/IJWH.S42110 ↗
33. 10.1007/s00404-010-1538-610.1007/s00404-010-1538-6 ↗
34. 10.1097/AOG.0b013e3181e9322a10.1097/AOG.0b013e3181e9322a ↗