Special Issue on Sensor Innovations with Personalized Medicine: Bridging Technology and Healthcare
Journal of Engineering and Science in Medical Diagnostics and Therapy
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Modern sensor systems, including wearable devices, biosensors, and advanced imaging tools, offer continuous health monitoring, early disease detection, and dynamic response tracking. Wearable devices provide real-time feedback on vital signs and biomarkers, while biosensors detect molecular-level changes linked to disease or therapy. Artificial intelligence (AI) and machine learning further refine these systems, transforming vast data into actionable insights for precision interventions, benefiting both doctors and patients. These innovations are driving breakthroughs in point-of-care diagnostics, remote health management, and personalized drug delivery.
This special issue focuses on cutting-edge developments and interdisciplinary efforts in sensor technologies, applications, and clinical trials shaping the future of personalized medicine.
Topic Areas
THE SCOPE OF THIS ISSUE INCLUDES BUT IS NOT LIMITED TO:
- Advances in Wearable Health Monitoring
- Biosensors for Disease Detection
- AI and Machine Learning in Personalized Medicine
- Innovations in Imaging Technologies
- Remote Health Management Systems
- Personalized Drug Delivery Systems
- Clinical Trials for Sensor-Driven Therapies
- Emerging Technologies in Precision Medicine
Submission Instructions
Papers should be submitted electronically to the journal through the ASME Journal Tool. If you already have an account, log in as an author and select Submit Paper. If you do not have an account, you can create one here.Once at the Paper Submittal page, select the Journal of Engineering and Science in Medical Diagnostics and Therapy, and then under the Special Issue field, select Special Issue on Sensor Innovations with Personalized Medicine: Bridging Technology and Healthcare.
Papers received after the deadline or papers not selected for the Special Issue may be accepted for publication in a regular issue.
Guest Editors
Maurizio Manzo, University of North Texas, Denton, TX, US (maurizio.manzo@unt.edu)
Martin Tanaka, Western Carolina University, Cullowhee, NC, US (mtanaka@email.wcu.edu)