[HTML][HTML] Machine learning and artificial intelligence based Diabetes Mellitus detection and self-management: A systematic review

J Chaki, ST Ganesh, SK Cidham… - Journal of King Saud …, 2022 - Elsevier
Diabetes Mellitus (DM) is a condition induced by unregulated diabetes that may lead to multi-
organ failure in patients. Thanks to advances in machine learning and artificial intelligence …

Overcoming the limits of cross-sensitivity: pattern recognition methods for chemiresistive gas sensor array

H Mei, J Peng, T Wang, T Zhou, H Zhao, T Zhang… - Nano-micro letters, 2024 - Springer
As information acquisition terminals for artificial olfaction, chemiresistive gas sensors are
often troubled by their cross-sensitivity, and reducing their cross-response to ambient gases …

High-end ion mobility mass spectrometry: A current review of analytical capacity in omics applications and structural investigations

DG Delafield, G Lu, CJ Kaminsky, L Li - TrAC Trends in Analytical …, 2022 - Elsevier
Mass spectrometry-based biomolecular analyses have become permanent fixtures of
academic, industrial, and clinical research settings. The rise in utilization of mass …

An electronic nose for identifying multiple combustible/harmful gases and their concentration levels via artificial intelligence

O Attallah, I Morsi - Measurement, 2022 - Elsevier
Identifying combustible gases is vital to ensure a livable environment and prevent hazards
affecting human safety. Most previous E-Nose studies aimed to either identify the gas or its …

Breath-based biosensors and system development for noninvasive detection of diabetes: a review

MR Jadhav, PR Wankhede, S Srivastava… - Diabetes & Metabolic …, 2024 - Elsevier
Background and aims In recent years, noninvasive techniques are becoming conspicuous
for diabetes detection. Sweat, tear, saliva, urine and breath-based methods showing …

Non-invasive detection and staging of colorectal cancer using a portable electronic nose

H Tyagi, E Daulton, AS Bannaga, RP Arasaradnam… - Sensors, 2021 - mdpi.com
Electronic noses (e-nose) offer potential for the detection of cancer in its early stages. The
ability to analyse samples in real time, at a low cost, applying easy–to-use and portable …

Development of a compact, IoT-enabled electronic nose for breath analysis

A Tiele, A Wicaksono, SK Ayyala, JA Covington - Electronics, 2020 - mdpi.com
In this paper, we report on an in-house developed electronic nose (E-nose) for use with
breath analysis. The unit consists of an array of 10 micro-electro-mechanical systems …

Electronic nose and its application in the food industry: a review

M Wang, Y Chen - European Food Research and Technology, 2024 - Springer
Food is closely related to human life. With the development of the times, the human demand
for food has changed dramatically. People pay closer attention to the safety, health …

A High performance electronic nose system for the recognition of myocardial infarction and coronary artery diseases

BH Tozlu, C Şimşek, O Aydemir… - … Signal Processing and …, 2021 - Elsevier
Electronic noses are devices that detect the number and level of chemicals in an odor. This
is accomplished by means of chemical gas sensors in the device's structure. The device …

Clinical applications of volatilomic assays

R Capuano, M Ciotti, A Catini, S Bernardini… - Critical Reviews in …, 2025 - Taylor & Francis
The study of metabolomics is revealing immense potential for diagnosis, therapy monitoring,
and understanding of pathogenesis processes. Volatilomics is a subcategory of …