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Advances in Intraocular Pressure Biosensors: Sensing Mechanisms, System Integration, and Clinical Translation
Jiaxin Yang1, Haiou Wang2, Raiyah Ahsan1
1West China College of Medicine, West China Hospital, Sichuan University, Chengdu, 610041, P. R. China.
Small (Weinheim an Der Bergstrasse, Germany)
|December 4, 2025
Summary
Wearable and implantable intraocular pressure (IOP) biosensors offer continuous monitoring for glaucoma. Recent advancements focus on improving sensor technology and addressing clinical translation challenges for better patient outcomes.
Area of Science:
- Biomedical Engineering
- Ophthalmology
- Sensor Technology
Background:
- Abnormal intraocular pressure (IOP) is a major risk factor for glaucoma, a leading cause of vision loss and economic burden.
- Conventional IOP measurement methods lack continuous monitoring capabilities, hindering early detection and management.
- Wearable and implantable biosensors represent a significant advancement for continuous IOP monitoring.
Purpose of the Study:
- To review recent advancements in intraocular pressure (IOP) biosensors, focusing on the last five years.
- To evaluate the potential of these biosensors in overcoming clinical translation challenges for continuous monitoring.
- To discuss the integration of emerging technologies like AI and big data in IOP biosensor development.
Main Methods:
- Review of recent scientific literature on IOP biosensors (last 5 years).
- Analysis of sensors based on piezoresistive, electrical, optical, and microfluidic principles.
- Evaluation of sensor placement at various intraocular sites (cornea, anterior chamber).
Main Results:
- Significant progress in wearable and implantable IOP biosensors utilizing diverse sensing principles.
- Improvements in sensor fabrication, power supply, data processing, and anti-interference capabilities.
- Identification of challenges in clinical translation, emphasizing the need for engineering-clinical balance.
Conclusions:
- IOP biosensors offer a promising solution for continuous monitoring, crucial for glaucoma management.
- Further optimization and validation are required to bridge the gap between engineering development and clinical application.
- Artificial intelligence and big data integration are expected to drive future innovations in IOP biosensor technology.
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