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Issues And Trends In Healthcare Delivery System

Issues And Trends In Healthcare Delivery System

The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...

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A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program

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Recent Progress in Wearable Bioelectronics for Theranostics and Perspectives with Artificial Intelligence.

Xuting Chen¹, Huiwen Xiong², Junsheng Chen³

¹Department of Neonatology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200092, China.

ACS Applied Materials & Interfaces

|October 29, 2025

Summary

This summary is machine-generated.

Wearable theranostics combine diagnostics and therapeutics for real-time disease monitoring. These smart devices, enhanced by AI, are revolutionizing precision medicine with improved diagnostics and treatment strategies.

Keywords:

commercialization machine learning precision medicine theranostics wearables

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Area of Science:

Biomedical Engineering
Nanotechnology
Artificial Intelligence

Background:

Wearable theranostics integrate diagnostic and therapeutic capabilities for real-time health monitoring.
Current applications include smart contact lenses, bandages, dressings, and dental patches.
These devices offer potential for personalized medicine and continuous disease management.

Purpose of the Study:

To provide a comprehensive review of wearable theranostic devices and their applications.
To analyze the role of machine learning in enhancing theranostic precision.
To summarize the commercialization status and discuss future directions for wearable theranostics.

Main Methods:

Literature review of wearable theranostic devices and AI integration.
Analysis of machine learning techniques for diagnosis, image analysis, and predictive analytics.
Summary of commercialization data and challenges in clinical translation.

Main Results:

Wearable theranostics demonstrate potential in early diagnosis, treatment, and real-time monitoring.
Machine learning significantly enhances the precision and autonomy of theranostic systems.
Commercialization is progressing, with AI-assisted systems moving towards clinical applications.

Conclusions:

Wearable theranostics represent a paradigm shift in personalized medicine.
AI-enhanced wearable theranostics facilitate intelligent clinical translation and deployment.
Addressing challenges is crucial for widespread adoption and commercial success.