About this Research Topic
Microelectronics-based sensors have revolutionized healthcare by integrating into various IoMT based medical devices, from wearables to implants, allowing non-invasive, long-term monitoring with enhanced patient comfort and real time data collection. Real-time data streams from these sensors facilitate dynamic insights into physiological parameters like heart rhythms and glucose levels, transforming medical practices. Advanced analytics and machine learning further enhance data interpretation for personalized medicine and predictive models. Precision medicine utilizes these sensors to tailor interventions, detecting early cancer biomarkers and optimizing drug delivery. Integration with telemedicine extends healthcare access, especially in remote areas, though challenges like biocompatibility and data security persist. Ongoing research focuses on improving sensor sensitivity and durability, exploring novel materials, and fostering interdisciplinary collaboration for clinical translation. Overall, microelectronics-based sensors promise personalized healthcare, early disease detection, and targeted therapeutics, shaping the future of medicine.
The goal of this Research Topic is to bring together a collection of papers focused on leveraging microelectronics-based sensors for early disease biomarker detection. By integrating into various medical devices, these sensors enable non-invasive, long-term monitoring, providing real-time data streams for dynamic insights into early disease diagnosis. Through advanced analytics and Internet of Medical Things (IoMT), these sensors facilitate personalized medicine and predictive models, revolutionizing healthcare practices. The goal is to highlight the potential of these sensors in enabling personalized healthcare, early disease detection, and targeted therapeutics, thus shaping the future of medicine.
We welcome the submission of manuscripts including, but not limited to, the following topics: Special focus will be given (but is not restricted) to:
• IoT based medical devices, from wearables to implants, allowing non-invasive, long-term monitoring with enhanced patient comfort and real time data collection
- Human - Machine interface for early diagnosis of disease for continuous monitoring.
- Advanced analytics and machine learning further enhance data interpretation for personalized medicine.
• Interdigitated Electrodes (IDE) based capacitive biosensor
• Novel biomaterial based IoT sensor for Alzheimer, dementia, neurological disease biomarkers diagnosis.
The goal of this Research Topic is to bring together a collection of papers focused on leveraging microelectronics-based sensors for early disease biomarker detection. By integrating into various medical devices, these sensors enable non-invasive, long-term monitoring, providing real-time data streams for dynamic insights into early disease diagnosis. Through advanced analytics and Internet of Medical Things (IoMT), these sensors facilitate personalized medicine and predictive models, revolutionizing healthcare practices. The goal is to highlight the potential of these sensors in enabling personalized healthcare, early disease detection, and targeted therapeutics, thus shaping the future of medicine.
We welcome the submission of manuscripts including, but not limited to, the following topics: Special focus will be given (but is not restricted) to:
• IoT based medical devices, from wearables to implants, allowing non-invasive, long-term monitoring with enhanced patient comfort and real time data collection
- Human - Machine interface for early diagnosis of disease for continuous monitoring.
- Advanced analytics and machine learning further enhance data interpretation for personalized medicine.
• Interdigitated Electrodes (IDE) based capacitive biosensor
• Novel biomaterial based IoT sensor for Alzheimer, dementia, neurological disease biomarkers diagnosis.
Keywords: IoMT, wearable sensor, IDE sensor, Neurological disease
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
