Diagnosis and Classification of 17 Diseases from 1404 Subjects <i>via</i> Pattern Analysis of Exhaled Molecules

K. Nakhleh, Morad; Amal, Haitham; Jeries, Raneen; Y. Broza, Yoav; Aboud, Manal; Gharra, Alaa; Ivgi, Hodaya; Khatib, Salam; Badarneh, Shifaa'; Har‐Shai, Lior; Glass‐Marmor, Lea; Lejbkowicz, Izabella; Miller, Ariel; Badarny, Samih; Winer, Raz; P. M. Finberg, J.; Cohen‐Kaminsky, Sylvia; Perros, Frédéric; Montani, David; Girerd, Barbara; Garcia, Gilles; Simonneau, Gérald; Nakhoul, Farid; Baram, Shira; Salim, Raed; Hakim, Marwan; Gruber, Maayan; Ronen, Ohad; Marshak, Tal; Doweck, Ilana; Nativ, Ofer; Bahouth, Zaher; Shi, Dayou; Zhang, Wei; Hua, Qingling; Pan, Yue-yin; Li, Tao; Liu, Hu; Karban, Amir; Koifman, Eduard; Rainis, Tova; Škapars, Roberts; Sīviņš, Armands; Ancāns, Guntis; Liepniece‐Karele, Inta; Ķikuste, Ilze; Lašina, Ieva; Tolmanis, Ivars; Johnson, Douglas; Z. Millstone, Stuart; A. Fulton, Jennifer; W. Wells, John; HABELSON WILF, L; Humbert, Marc; Leja, Mārcis; Peled, Nir; Haick, Hossam

doi:10.1021/acsnano.6b04930

Public

Diagnosis and Classification of 17 Diseases from 1404 Subjects via Pattern Analysis of Exhaled Molecules

Published in ACS Nano • Dec 21, 2016

Authors:

Morad K. Nakhleh

Haitham Amal

Raneen Jeries

Abstract

We report on an artificially intelligent nanoarray based on molecularly modified gold nanoparticles and a random network of single-walled carbon nanotubes for noninvasive diagnosis and classification of a number of diseases from exhaled breath. The performance of this artificially intelligent nanoar...

Subject

Breath gas analysis

Exhaled air

Confounding

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