Wearable biosensors for autoimmune disorders.

Area of Science:

• Biomedical Engineering
• Immunology
• Wearable Technology

Background:

• Autoimmune disorders affect millions globally, characterized by complex immune attacks and dynamic disease progression.
• Conventional diagnostic and monitoring methods struggle to capture the fluctuating nature of autoimmune diseases and treatment responses.
• There is a critical need for advanced monitoring solutions to manage autoimmune conditions effectively.

Purpose of the Study:

• To review the role of wearable biosensors (WBS) in managing autoimmune diseases.
• To discuss relevant biomarkers and recent technological advancements in biosensor development.
• To explore future prospects including AI, big data, and omics integration for personalized autoimmune disease management.

Main Methods:

• Review of pathophysiology underlying WBS in autoimmune disease management.
• Analysis of relevant biomarkers (cytokines, autoantibodies, acute phase proteins).
• Examination of recent advances in biosensor technology, addressing sensitivity, specificity, stability, and biocompatibility.

Main Results:

• Wearable biosensors enable continuous, minimally invasive monitoring of key biomarkers for autoimmune diseases.
• Recent advances show promise in improving sensor performance and addressing critical issues like sensitivity and stability.
• Future integration with big data analytics, AI, and omics holds potential for predictive modeling and personalized care.

Conclusions:

• Wearable biosensors represent a transformational approach to monitoring autoimmune diseases.
• Addressing technological challenges is crucial for widespread clinical adoption.
• Future innovations promise personalized, data-driven, real-time management of autoimmune conditions.