Non-Invasive Sensors for Disease Diagnosis
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Physical Sensors".
Deadline for manuscript submissions: 30 November 2025 | Viewed by 951
Special Issue Editors
Interests: sensors; ion mobility spectrometry; VOCs; environmental health; VOC biomarkers; toxicology; metabolites; breath analysis
Special Issues, Collections and Topics in MDPI journals
Interests: biomedical instrumentation; sensors; ion mobility spectrometry; breath biomarkers; air quality assessment
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Nowadays, a key factor for early detection and successful clinical management of diseases, while improving patients' quality of life, is the development of non-invasive and cost-effective biomedical sensors for the measurement of physiological parameters from the human body. Recent developments in sensor materials, electronics, and novel applications of artificial intelligence (AI) technology in the domain of physiological signals could open to healthcare providers new exciting avenues for personalized healthcare monitoring to make better decisions.
This Special Issue addresses the latest advancements in all types of non-invasive sensors designed for human disease diagnosis and health monitoring, as well as the developments in novel sensing techniques for non-invasive measurement of the comprehensive set of biomarkers. Recent achievements in device concepts and sensor fabrication, including wireless and wearable sensors and the engineering of low-cost, miniaturized AI-powered sensing systems that provide continuous, real-time, and long-term monitoring of key biomarkers, are welcomed.
Dr. Valentina Vassilenko
Dr. Pedro C. Moura
Guest Editors
Manuscript Submission Information
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Keywords
- non-invasive biomedical sensors
- wearable sensors
- wireless sensing devices
- body-sensor networks
- optical sensors
- biochemical sensors
- infrared detectors
- breath analysis
- machine learning
- artificial intelligence
- clinical environment
- portable technology
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