Novel Strategic Framework for AI-Driven Discovery and Development of Smart and Sustainable Polymers in Healthcare

Year : 2026 | Volume : 14 | Special Issue 01 | Page : 1535 1550
    By

    Ritam Saha,

  • Krishnendu Ghosh,

  • Sudip Basu,

  • Indrajit Ghosal,

  • Nilanjan Ray,

  • Ritam Rajak,

  1. Research Scholar, Faculty of Management, JIS University, Kolkata, India
  2. Assistant Professor, Department of Management, Brainware University, Barasat, West Bengal, India
  3. Assistant Professor, Department of Management Studies, Asansol Engineering College, West Bengal, India
  4. Associate Professor, Department of Management, Brainware University, Barasat, West Bengal, India
  5. Associate Professor, Faculty of Management, JIS University, Kolkata, India
  6. Assistant Professor, Department of Computer Science and Engineering – AI&ML, Moodlakatte Institute of Technology, Kundapura, Karnataka, India

Abstract

The development of new smart and sustainable polymers is emerging as a priority of new health care innovative development, but event before it may be actualized, the usual culprit is the delay and unproductive execution of the old-fashioned R&D efforts. The current paper proposes a strategic plan which will solve all these shortcomings and speed up the material discovery process by using Artificial Intelligence (AI) and Machine Learning (ML). The study strategy is the synthesis of the existing literature to construct a new three-layered framework which would be impacted by predictive informatics, generative design, and automated optimization of the process. Until now, these results hint at the conclusion that the framework can be used to high impact areas of targeted drug delivery and regenerative medicine by providing a paradigm shift in the construction of smart materials with customized properties on an individual level. Besides this, the report cites the self-constitutive requirements of the future standardized, FAIR (Findable, Accessible, Interoperable, Reusable) data infrastructure and the development of the new and convergent data analytic/polymer science intersectional skillbase. The article details the finding in regards to how it relates to the United Nations Sustainable Development Goal 3 (SDG 3) that concerns the enhancement of health solutions to be cheaper, more tailored, and sustainable. It also concludes the paper by giving some real suggestions to the researchers, policymakers and industry such that they can assist them to make an ecosystem that can assist such an AI-driven change.

Keywords: Smart Polymers; Sustainable Healthcare; Artificial Intelligence; Materials Informatics; Machine Learning; Drug Delivery; Sustainable Development Goal 3 (SDG 3).

[This article belongs to Special Issue under section in Journal of Polymer & Composites (jopc)]

How to cite this article:
Ritam Saha, Krishnendu Ghosh, Sudip Basu, Indrajit Ghosal, Nilanjan Ray, Ritam Rajak. Novel Strategic Framework for AI-Driven Discovery and Development of Smart and Sustainable Polymers in Healthcare. Journal of Polymer & Composites. 2026; 14(01):1535-1550.
How to cite this URL:
Ritam Saha, Krishnendu Ghosh, Sudip Basu, Indrajit Ghosal, Nilanjan Ray, Ritam Rajak. Novel Strategic Framework for AI-Driven Discovery and Development of Smart and Sustainable Polymers in Healthcare. Journal of Polymer & Composites. 2026; 14(01):1535-1550. Available from: https://journals.stmjournals.com/jopc/article=2026/view=231041


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    view=225280
Special Issue Subscription Review Article
Volume 14
Special Issue 01
Received 05/09/2025
Accepted 26/09/2025
Published 27/03/2026
Publication Time 128 Days
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