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Related Concept Videos

Autoimmune Disorders01:29

Autoimmune Disorders

678
Autoimmune diseases are a group of disorders in which the body's immune system mistakenly attacks its own cells, tissues, and organs. This results from an overactive immune response against substances and tissues normally present in the body. Let's delve into the concept and mechanism of autoimmune diseases from an immune system point of view, explore different causes and examples of such diseases, and discuss potential solutions.
Concept and Mechanism of Autoimmune Diseases
The immune...
678

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Wearable biosensors for autoimmune disorders.

Jyot Thesia1, Alok Pandya2

  • 1School of Biotechnology and Bioengineering, Institute of Advanced Research, Gandhinagar, Gujarat, India.

Progress in Molecular Biology and Translational Science
|July 19, 2025
PubMed
Summary

Wearable biosensors offer continuous monitoring for autoimmune diseases, tracking biomarkers like cytokines. This technology enables personalized, real-time patient management and improved treatment efficacy for conditions such as rheumatoid arthritis and lupus.

Keywords:
AI in healthcareAutoimmune disordersDigital healthImmunosensorsPersonalized medicineWearable biosensors

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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.