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Recent Advances in Integrating Graphene into Polymeric Nanocomposite Hydrogels for Biomedical Applications
Abrar Hussain1,2, Irum Batool3, Khurram Shahzad1,2
1Advanced Radiation Technology Institute (ARTI), Korea Atomic Energy Research Institute (KAERI), Jeongeup, Republic of Korea.
Graphene integration enhances composite hydrogels (CHGs) for superior biomedical applications. Machine learning further optimizes these smart hydrogels, paving the way for advanced healthcare solutions.
Area of Science:
- Materials Science
- Biomedical Engineering
- Nanotechnology
Background:
- Hydrogels are vital in biomedicine due to biocompatibility and tissue mimicry.
- Conventional hydrogels suffer from poor conductivity, mechanical strength, and limited functionality.
- Graphene integration into hydrogels creates advanced composite hydrogels (CHGs) with enhanced properties.
Purpose of the Study:
- To review graphene's properties and its role in synthesizing graphene-enhanced composite hydrogels (CHGs).
- To explore recent advancements in CHGs for drug delivery, tissue engineering, and photothermal therapy (PTT).
- To examine the application of machine learning (ML) in optimizing CHG properties for biomedical applications.
Main Methods:
- Comprehensive analysis of graphene's structural and functional characteristics.
- Review of methods for incorporating graphene into hydrogel matrices.
- Exploration of ML algorithms for predictive modeling of CHG properties.
Main Results:
- Graphene-enhanced CHGs exhibit superior mechanical strength, electrical conductivity, thermal stability, and optical properties.
- Graphene-based CHGs show significant improvements in drug delivery, tissue engineering, and PTT applications.
- ML demonstrates potential in optimizing CHG design and predicting performance for wearable sensors.
Conclusions:
- Graphene integration significantly enhances hydrogel performance for advanced biomedical applications.
- Machine learning offers a powerful tool for designing next-generation smart hydrogels.
- Graphene-based CHGs and ML integration hold transformative potential for addressing healthcare challenges.
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