Next-Generation Sensors for Digital Health and Biomedical Applications: Celebrating the 25th Anniversary
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biomedical Sensors".
Deadline for manuscript submissions: 28 February 2027 | Viewed by 143
Editors
Interests: deep learning (ensembles of deep learners); medical image classification (general-purpose image classifiers, neonatal pain detection); biometrics systems (fingerprint classification and recognition, face recognition)
Special Issues, Collections and Topics in MDPI journals
2. Department of Surgery and Neag Cancer Center, Uconn Health, Farmington, CT 06030-0001, USA
Interests: biomedical diagostics; bioelectrochemistry; bioanalytical chemistry; biosensors and arrays; genotoxicity analysia; electrochemical catalysis; computer data analysis; automation; biocatalysis
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Special Issue Information
Dear Colleagues,
Recent advances in sensor technologies are redefining the healthcare landscape, enabling a transition from reactive, hospital-centric care to proactive, personalized, and data-driven health management. The convergence of miniaturized sensors, wearable devices, the Internet of Things (IoT), artificial intelligence, and advanced communications technologies has created unprecedented opportunities for the continuous monitoring of physiological, behavioral, and environmental parameters. These developments are driving innovation in disease prevention, early diagnosis, remote patient monitoring, rehabilitation, and precision medicine. At the same time, global challenges such as population aging, the growing prevalence of chronic diseases, and rising healthcare costs highlight the urgent need for reliable, scalable, and accessible sensing solutions capable of supporting digital health ecosystems.
On the occasion of Sensors' 25th anniversary, this Special Issue aims to present and disseminate the latest advances in next-generation sensor technologies for digital health and biomedical applications. We welcome original research articles, reviews, and communications addressing novel sensing devices, methodologies, algorithms, and systems that contribute to improving healthcare delivery, patient outcomes, and biomedical research. Particular emphasis will be given to interdisciplinary contributions that connect sensor development to concrete clinical, biomedical, and healthcare applications.
- Topics of interest for publication include, but are not limited to, the following:
- Wearable, implantable, and skin-based sensors for health monitoring;
- Biosensors for disease diagnosis and biomarker analysis;
- Smart sensors for remote patient monitoring and telemedicine;
- Artificial intelligence and machine learning for sensor data analysis;
- Multimodal sensing techniques and sensor fusion;
- Internet of Medical Things (IoMT) and connected healthcare systems;
- Flexible, stretchable, and textile-based sensing technologies;
- Point-of-care diagnostic devices and lab-on-a-chip systems;
- Sensors for rehabilitation, assistive technologies, and human-computer interaction;
- Biomedical signal acquisition and processing;
- Digital biomarkers and personalized healthcare solutions;
- Energy-efficient and self-powered biomedical sensors;
- Data security, privacy, and ethical aspects of digital sensing in healthcare;
- Clinical validation and translational applications of sensor technologies.
This Special Issue aims to provide a comprehensive forum for researchers, engineers, clinicians, and healthcare professionals to share innovative solutions and discuss future directions for sensor-based digital systems for health and biomedicine.
Dr. Loris Nanni
Prof. Dr. James F. Rusling
Guest Editors
Manuscript Submission Information
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Keywords
- digital health
- biomedical sensors
- wearable sensors
- biosensors
- remote patient monitoring
- internet of medical things (IoMT)
- artificial intelligence in healthcare
- sensor data analytics
- point-of-care diagnostics
- personalized medicine
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