Using Artificial Intelligence for the Design of Polymeric Drug Delivery Systems
Guest Editor:
- Prof. Sarvesh Kumar, The ICFAI University, Jaipur
- Dr. Surbhi Jain, The ICFAI University, Jaipur
- Prof. Radha Patel, The ICFAI University, Jaipur
- Dr. Neeraj Kumar Verma, Manipal University Jaipur, Jaipur
Abstract Submission Deadline : 20/08/2025
Manuscript Submission Deadline : 31/12/2025
[This article belongs to Special Issue Using Artificial Intelligence for the Design of Polymeric Drug Delivery Systems under section in Journal of Polymer and Composites()]
Special Issue Description
The integration of Artificial Intelligence (AI) in the design of polymeric drug delivery systems is revolutionizing modern pharmaceutical and biomedical research. Polymeric drug delivery systems, which use biocompatible polymers to control the release, targeting, and bioavailability of drugs, are essential for improving therapeutic outcomes and reducing side effects. AI techniques, including machine learning (ML), deep learning, and neural networks, can analyze vast datasets to predict polymer-drug interactions, optimize formulation parameters, and simulate drug release kinetics. By leveraging AI algorithms, researchers can significantly reduce the time and cost associated with experimental trials and accelerate the development of personalized and precision drug delivery systems. This interdisciplinary approach combines materials science, pharmaceutical technology, and computational intelligence to pave the way for smarter, safer, and more effective therapeutic solutions.
Keywords
Artificial Intelligence in Drug Delivery, Polymeric Nanocarriers, Smart Drug Delivery Systems, Machine Learning for Formulation Design, AI-Driven Pharmaceutical Research, Controlled Release Mechanisms, Computational Modeling in Drug Delivery, Personalized Drug Delivery Technologies, Deep Learning in Biomedical Applications, Polymer-Drug Interaction Prediction, Intelligent Therapeutic Systems, Data-Driven Formulation Development, Nanotechnology in Drug Delivery, Advanced Materials for Drug Delivery, Bioinformatics in Pharmaceutics
Applications for AI in this domain include:
• Predicting the compatibility of drugs with specific polymers
• Designing nanoparticles or micelles for targeted delivery
• Optimizing drug release profiles based on patient-specific data
• Enhancing the scalability and manufacturability of formulations
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