Intelligent Biocomposites for Real-Time Health Monitoring Applications

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Year : 2026 | Volume : 14 | 04 | Page :
By

Hemlata Uday Karne,

Nallusamy Duraisamy,

C.C. Khanwelkar,

Koti Tejasvi,

Akella Yeswanth,

Avinash M. Pawar,

  1. Associate Professor, Department of Computer Science and Engineering, Faculty of Science and Technology, Vishwakarma University, Pune, Maharashtra, India
  2. Associate Professor, Department of Research, Meenakshi Academy of Higher Education and Research, Chennai, Tamil Nadu, India
  3. Associate Professor, Department of Pharmacology, Krishna Institute of Science and Technology, Krishna Vishwa Vidyapeeth “Deemed to be University”, Karad, Satara, Maharashtra, India
  4. Associate Professor, Department of Computer Science and Engineering (AI&ML), Vardhaman College of Engineering, Shamshabad, Hyderabad, Telangana, India
  5. Associate Professor, Department of Mechanical Engineering, Pragati Engineering College, Kakinada District, Andhra Pradesh, India
  6. Associate Professor, Department of Mechanical Engineering, Bharati Vidyapeeth’s College of Engineering for Women, Pune, Maharashtra, India

Abstract

Intelligible biocomposites are emerging as an enhanced material in the sense that they provide the capability to monitor health in real time because they have the inbuilt sensing and adjusting features. In this paper, the concepts of the intelligent biocomposites that have the ability to capture both mechanical and biochemical cues are to be presented as an informatics of designing, fabricating, and modeling. Multiphysics is used to couple mechanical deformation and electrical response and this is analyzed so as to enhance the accuracy of the sensing. It has internalized network sets of sensors and machine learning algorithms that are applied to forecast health. The proposed construction is far more sensitive, stable and reliable compared to the traditional materials. The results of the analysis and experiments allow suggesting the opportunities of smart biocomposites in the fields of biomedical implants, wearable devices, and continuous physiological cohort devices. Intelligent biocomposites are another significant advancement in real-time health monitoring since it will be the introduction of biocompatibility, sensing properties, and intelligence-based information within a single structure. Multiphysics modeling with embedded sensor networks are used in combination with an aim of enhancing accuracy, reliability and responsiveness in physiological conditions of dynamism. Furthermore, machine learning-based prediction provides the possibility to predict health abnormalities at an early stage, which would be beneficial to the requirements of proactive and personalized healthcare. The proposed system has been superior compared to conventional materials in terms of sensitivity, stability as well as durability.

Keywords: Intelligent biocomposites, real-time monitoring, embedded sensors, multiphysics modeling, machine learning.

How to cite this article: Hemlata Uday Karne, Nallusamy Duraisamy, C.C. Khanwelkar, Koti Tejasvi, Akella Yeswanth, Avinash M. Pawar. Intelligent Biocomposites for Real-Time Health Monitoring Applications. Journal of Polymer & Composites. 2026; 14(04):-.
How to cite this URL: Hemlata Uday Karne, Nallusamy Duraisamy, C.C. Khanwelkar, Koti Tejasvi, Akella Yeswanth, Avinash M. Pawar. Intelligent Biocomposites for Real-Time Health Monitoring Applications. Journal of Polymer & Composites. 2026; 14(04):-. Available from: https://journals.stmjournals.com/jopc/article=2026/view=253027

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Ahead of Print Subscription Original Research
Volume 14
04
Received 01/05/2026
Accepted 24/06/2026
Published 21/08/2026
Publication Time 112 Days

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