AI-powered breakthroughs in material science and biomedical polymers

Research output: Contribution to journalArticlepeer-review

Abstract

This commentary examines how Artificial Intelligence (AI) and Machine Learning (ML) are transforming biomedical polymers, drug delivery systems, wearable electronics, smart materials, advanced manufacturing, and neuromorphic technologies. AI enhances prediction accuracy, optimizes material properties, accelerates development, and enables innovative applications such as smart biomaterials, personalized medicine, and tissue engineering. Specific applications include predicting polymer properties, optimizing drug release kinetics, improving drug delivery system design, and creating responsive materials for advanced biomedical devices. AI also advances wearable sensors, flexible electronics, 3D/4D printing, sustainable materials, and neuromorphic computing, leading to breakthroughs in health monitoring, human-computer interaction, and environmental sustainability.

Original languageEnglish
Pages (from-to)161-174
Number of pages14
JournalJournal of Bioactive and Compatible Polymers
Volume40
Issue number2
DOIs
StatePublished - Mar 2025

Bibliographical note

Publisher Copyright:
© The Author(s) 2024.

ASJC Scopus Subject Areas

  • Bioengineering
  • Biomaterials
  • Polymers and Plastics
  • Materials Chemistry

Keywords

  • Artificial intelligence
  • biomedical polymers
  • drug delivery systems
  • machine learning
  • smart biomaterials

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