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We propose a multimodal biosensor system designed to differentiate lung cancer VOCs characteristics among multiple VOCs, enabling exhalation-based lung cancer ...
Abstract— Exhaled breath analysis offers non-invasive lung cancer diagnosis potential by detecting specific volatile organic compounds (VOCs) produced ...
Jun 15, 2024 · In this study, for the early diagnosis of lung cancer, a breath analysis system was developed using a gas sensor array and deep learning algorithm.
We aimed to investigate the use of free glycosaminoglycan profiles (GAGomes) and cfDNA in plasma to differentiate between lung cancer and benign lung ...
To address this, we developed a multimodal biosensor system using 10 gas sensors with varying sensitivity profiles. We also designed a classification algorithm ...
The exhaled breath analysis technique holds great promise as a non-invasive method for diagnosing lung cancer. In the breath of lung cancer patients, various ...
Sep 30, 2022 · Breath analysis is a promising non-invasive method for the detection and management of lung cancer. Exhaled breath contains a complex mixture of volatile and ...
Missing: Multimodal | Show results with:Multimodal
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Breath analysis using a chemical sensor array combined with machine learning algorithms may be applicable for detecting and screening lung cancer.
Missing: Multimodal Biosensor
Feb 11, 2019 · Sensor technology takes advantage of the microelectronics revolution, and then, it promises to develop devices sufficiently sensitive to detect lung cancer ...
Missing: Multimodal | Show results with:Multimodal
Sep 9, 2024 · This comprehensive review summarizes the state-of-the-art breath-based lung cancer diagnosis employing chemiresistive-module nanobiosensors supported by ...