Nanotechnology-Enhanced Wearable Biosensors for Liver Disease Detection: Integration with AI for Predictive Analytics

Year : 2024 | Volume :14 | Issue : 01 | Page : –
By

C.Sunil

  1. Student Indira Institute of Technology & Sciences Andhra Pradesh

Abstract

The worldwide health burden of liver diseases is substantial, and effective treatment and management depend heavily on early detection. This paper investigates the integration of nanotechnology-enhanced wearable biosensors with artificial intelligence (AI) techniques for predictive analytics in liver disease detection. The construction of extremely selective and sensitive biosensors that can identify a variety of biomarkers linked to liver illnesses has been made possible via nanotechnology. These nanotechnology-based biosensors can be integrated into wearable devices, allowing for continuous and non-invasive monitoring of relevant biomarkers. By combining the high-quality data collected from these wearable biosensors with AI-driven predictive analytics, patterns and early signs of liver diseases can be detected, enabling timely interventions and personalized treatment strategies. This paper presents a comprehensive review of the current state-of-the-art in nanotechnology-enhanced wearable biosensors for liver disease detection, their integration with AI techniques for predictive analytics, and potential applications in personalized healthcare. It also talks about the difficulties and potential paths for future multidisciplinary study in this area.

Keywords: Nanotechnology, wearable biosensors, liver disease detection, predictive analytics, artificial intelligence, machine learning, biomarkers

[This article belongs to Journal of Nanoscience, NanoEngineering & Applications(jonsnea)]

How to cite this article: C.Sunil. Nanotechnology-Enhanced Wearable Biosensors for Liver Disease Detection: Integration with AI for Predictive Analytics. Journal of Nanoscience, NanoEngineering & Applications. 2024; 14(01):-.
How to cite this URL: C.Sunil. Nanotechnology-Enhanced Wearable Biosensors for Liver Disease Detection: Integration with AI for Predictive Analytics. Journal of Nanoscience, NanoEngineering & Applications. 2024; 14(01):-. Available from: https://journals.stmjournals.com/jonsnea/article=2024/view=150180

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Regular Issue Subscription Original Research
Volume 14
Issue 01
Received May 28, 2024
Accepted May 31, 2024
Published June 13, 2024
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