Open AccessProfiles of Volatile Biomarkers Detect Tuberculosis from Skin (Adv. Sci. 15/2021)
Author(s) -
Vishinkin Rotem,
Busool Rami,
Mansour Elias,
Fish Falk,
Esmail Ali,
Kumar Parveen,
Gharaa Alaa,
Cancilla John C.,
Torrecilla Jose S.,
Skenders Girts,
Leja Marcis,
Dheda Keertan,
Singh Sarman,
Haick Hossam
Publication year - 2021
Publication title -
advanced science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.388
H-Index - 100
ISSN - 2198-3844
DOI - 10.1002/advs.202170093
Subject(s) - tuberculosis , wearable computer , biomarker , mycobacterium tuberculosis , medicine , point of care testing , computer science , pathology , embedded system , chemistry , biochemistry
Detecting Tuberculosis from Skin Headspace In article number 2100235, Hossam Haick and co‐workers report on a new diagnostic approach for enabling a noninvasive, fast, and highly accurate way of detecting Tuberculosis. The approach relies on Tuberculosis‐specific volatile biomarkers that are detected and quantified from the skin headspace. A specifically designed lab‐based and wearable sensors array in conjugation with machine learning translates the detection of these biomarkers into a point‐of‐care diagnosis with sensitivity above 90%.