journal article·2021-08Open access

Profiles of Volatile Biomarkers Detect Tuberculosis from Skin (Adv. Sci. 15/2021)

Rotem Vishinkin, Rami Busool, Elias Mansour, Falk Fish, Ali Esmail, Parveen Kumar, Alaa Gharaa, John C. Cancilla, Jose S. Torrecilla, Girts Skenders, Marcis Leja, Keertan Dheda, Sarman Singh, Hossam Haick

Advanced Science· Volume 8· Issue 15

Abstract

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%. [Image: see text]
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Advanced Chemical Sensor Technologies

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

References

Reference metadata was not supplied for this record.