Cargando…
Diagnosis and Classification of 17 Diseases from 1404 Subjects via Pattern Analysis of Exhaled Molecules
[Image: see text] 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...
Ejemplares similares
-
Breath Volatile Organic Compounds in Surveillance of Gastric Cancer Patients following Radical Surgical Management
por: Škapars, Roberts, et al.
Publicado: (2023) -
The Association of Circulating L-Carnitine, γ-Butyrobetaine and Trimethylamine N-Oxide Levels with Gastric Cancer
por: Stonāns, Ilmārs, et al.
Publicado: (2023) -
The Diagnostic Value of Anti-Parietal Cell and Intrinsic Factor Antibodies, Pepsinogens, and Gastrin-17 in Corpus-Restricted Atrophic Gastritis
por: Kriķe, Petra, et al.
Publicado: (2022) -
Assessment of Serum Pepsinogens with and without Co-Testing with Gastrin-17 in Gastric Cancer Risk Assessment—Results from the GISTAR Pilot Study
por: Robles, Claudia, et al.
Publicado: (2022) -
Modular Point-of-Care Breath Analyzer and Shape Taxonomy-Based Machine Learning for Gastric Cancer Detection
por: Polaka, Inese, et al.
Publicado: (2022)