Using Artificial Intelligence for The Design of Polymeric Drug Delivery Systems

Open Access

Year : 2025 | Volume : 13 | Special Issue 01 | Page : 1018 1027
    By

    Preeti,

  • Dinesh puri,

  • Arvind Singh Farswan,

  1. Assistant Professor, Department of Pharmaceuticals, Sidhartha Institute of Pharmacy, Dehradun, Uttarakhand, India
  2. Professor, Department of Pharmaceuticals, Graphic Era Hill University, Dehradun, Uttarakhand, India
  3. Assistant Professor, Department of Pharmaceuticals, Himalayan School of Pharmaceutical Sciences, SRHU, Jolly Grant, Dehradun, Uttarakhand, India

Abstract

AI is cost effective and time efficient process. Artificial intelligence is a method which uses high speed calculation, the improvement regarding algorithm along with collection about biological and chemical features in pharmaceutical exploration and development .Present day because continuous progress towards machine learning (ML),Artificial intelligence an effective statistics analysing technology might have been broadly utilized  in drug design .In pharmaceutical exploration and research employ of AI in target identification, compound screening, hit to lead identification, preclinical and clinical trials and 3D printing. This review from 2019 to 2023 gives the achievable information on pharmaceutical exploration along the Machine learning devices and methods which implement in each and every stage of drug advancement. The integration of AI and spectroscopy in pharmaceutical exploration has enabled higher target accuracy, reduced toxicity, and improved dosage formulations. This review article elucidates the utilization of AI and chemical engineering at each stage of pharmaceutical exploration. We conclude this article by using extensive literature search, news articles to know the latest position of artificial intelligence in drug advancement. Machine learning, a subset of artificial learning that permit numerous layers depiction of data with several layers of extraction have submit improvement in academic, industry like speech identification, image categorization, bioinformatics etc.

Keywords: Speed calculation, artificial intelligence, chemical tubes, drug design, spectroscopy, polymeric drug delivery systems.

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

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How to cite this article:
Preeti, Dinesh puri, Arvind Singh Farswan. Using Artificial Intelligence for The Design of Polymeric Drug Delivery Systems. Journal of Polymer and Composites. 2024; 13(01):1018-1027.
How to cite this URL:
Preeti, Dinesh puri, Arvind Singh Farswan. Using Artificial Intelligence for The Design of Polymeric Drug Delivery Systems. Journal of Polymer and Composites. 2024; 13(01):1018-1027. Available from: https://journals.stmjournals.com/jopc/article=2024/view=187061


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Special Issue Open Access Review Article
Volume 13
Special Issue 01
Received 08/07/2024
Accepted 27/08/2024
Published 03/12/2024
417

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