Artificially Intelligent Nanoarray for the Detection of Preeclampsia under Real‐World Clinical Conditions
Source abstract
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.
Source: openalex_inverted_index · Quality: baseline
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
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