Paper Title
USE OF ARTIFICIAL INTELLIGENCE IN NOVEL DISSOLUTION ENHANCEMENT TECHNIQUES
Article Identifiers
Registration ID: IJNRD_214108
Published ID: IJNRD2402255
: Click Here to Get
About Hard Copy and Transparent Peer Review Report
Authors
Keywords
Artificial Intelligence, Artificial Neural Networks (ANNs), Dissolution Techniques, Theories of Dissolution, Long Short-Term Memory Networks (LSTMs), EDRM, RLRM
Abstract
Intelligent modelling, which aids in knowledge conception, problem solving, and decision making, is the aim of artificial intelligence (AI). The first studies of what is now called artificial intelligence (AI) were carried out in 1943 by Walter Pits and Warren McCulloch. It used to be believed that artificial intelligence (AI) was only used in engineering. However, artificial intelligence (AI) is now widely applied in the pharmacy sector across a wide range of areas, including hospital pharmacy, drug discovery, formulation development for drug delivery, marketing, management, and marketing. Artificial neural network (ANN) techniques are widely used in pharmaceutical research for data filtering and experimental outcome prediction. Regression analysis and a backpropagation network were used in this work to model a new dissolution outcome prediction and screen system. Drug research and the development of drug delivery formulations involve a large number of Artificial Neural Networks (ANNs), including Deep Neural Networks (DNNs) and Recurrent Neural Networks (RNNs). The technology's promise in quantitative structure-property relationship (QSPR) or quantitative structure-activity relationship (QSAR) has been validated, and several drug discovery implementations have been studied. De novo design also promotes the creation of pharmacological compounds with significantly novel properties in terms of intended or ideal attributes. Robots are used by doctors nowadays for a range of medical procedures since they are more dependable than people, have more sophisticated work features, and can finish any task swiftly and effectively. We draw the conclusion that artificial intelligence (AI) is the burgeoning subject that is affecting every business, including pharmacy, and that more work must be done in this area in order to advance the state of the art and carry out fresh investigations. Because of the way the input data was prepared, the relevant data could still be used to train the ANN model even after the formulation composition was changed. This system uses the reference line regression methodology (RLRM) and the effective data regression method (EDRM) to predict dissolution results with a high accuracy rate. Nevertheless, compared to the orthogonal experiment, it requires a smaller database. Additionally, this system implements a decision tree-based data screen function. The drug prediction system created by this artificial neural network (ANN) model is distinct.
Downloads
How To Cite (APA)
AKSHAY BABAN JADHAV, Indrajeet D. Gonjari, Pranita K. More, Divya B. Jagdale, & Shreevidya M. Yamatkar (February-2024). USE OF ARTIFICIAL INTELLIGENCE IN NOVEL DISSOLUTION ENHANCEMENT TECHNIQUES. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(2), c487-c500. https://ijnrd.org/papers/IJNRD2402255.pdf
Issue
Volume 9 Issue 2, February-2024
Pages : c487-c500
Other Publication Details
Paper Reg. ID: IJNRD_214108
Published Paper Id: IJNRD2402255
Research Area: Pharmacy
Author Type: Indian Author
Country: Satara, Maharashtra, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2402255.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2402255
About Publisher
Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
UGC CARE JOURNAL PUBLICATION | ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
An International UGC CARE JOURNAL PUBLICATION, Low Cost, Scholarly Open Access, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJNRD (IJ Publication) Janvi Wave | IJNRD.ORG | IJNRD.COM | IJPUB.ORG
Copyright & License
© 2026 - Authors hold the copyright of this article. This work is licensed under a Creative Commons Attribution 4.0 International License. and The Open Definition.
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0).
🛡️ Disclaimer: The content, data, and findings in this article are based on the authors’ research and have been peer-reviewed for academic purposes only. Readers are advised to verify all information before practical or commercial use.
The journal and its editorial board are not liable for any errors, losses, or consequences arising from its use.
Publication Timeline
Article Preview: View Full Paper
Call For Paper
IJNRD is a Scholarly Open Access, Peer-Reviewed, Refereed, and UGC CARE Journal Publication with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost, and Transparent Peer Review Journal Publication that adheres to the New UGC CARE Transparent Peer-Reviewed Journal Policy and aligns with Scopus Journal Publication standards to ensure the highest level of research quality and credibility.
IJNRD offers comprehensive Journal Publication Services including indexing in all major databases and metadata repositories, Digital Object Identifier (Crossref DOI) assignment for each published article with additional fees, citation generation tools, and full Open Access visibility to enhance global research reach and citation impact.
The INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to advance applied, theoretical, and experimental research across diverse academic and professional fields. The journal promotes global knowledge exchange among researchers, developers, academicians, engineers, and practitioners, serving as a trusted platform for innovative, peer-reviewed journal publication and scientific collaboration.
Indexing Coverage: Google Scholar, SSRN, ResearcherID-Publons, Semantic Scholar (AI-Powered Research Tool), Microsoft Academic, Academia.edu, arXiv.org, ResearchGate, CiteSeerX, ResearcherID (Thomson Reuters), Mendeley, DocStoc, ISSUU, Scribd, and many other recognized academic repositories.
Transparent Peer Review Journal Publication: IJNRD operates a strict double-blind peer review system managed by 3000+ expert reviewers, ensuring ethical, unbiased, and high-quality review for every research paper.
For Indian Authors : Get a transparent peer review report from Scholar9.com for just ₹1000. View Sample Report
For Foreign Authors : A detailed peer review report is available through Scholar9.com for $20 USD. View Sample Report
Transparent Peer Review Journal Publication
⭐ Transparent Peer Review | 🕵️♂️ Double-Blind | 👨🏫 3000+ Expert Reviewers | 🇮🇳 Report for India Author ₹1000 | 🌐 Report for Foreign Author $20 | 📄 Sample Reports on Scholar9.com | 🌍 High Credibility | ⚖️ Ethical & Unbiased Evaluation
How to submit the paper?
By Our website
Click Here to Submit Paper Online
Recently, the UGC discontinued the UGC-CARE Journal List and introduced new parameters that allow publication in Transparent Peer-Reviewed (Refereed) Journals. IJNRD is Transparent Peer Review Journal Valid As per New UGC Notification.
You can now publish your research paper in IJNRD.ORG. IJNRD is a Transparent Peer-Reviewed Open Access (Refereed Journal), UGC and UGC CARE Approved, Crossref DOI, Multidisciplinary, Impact Factor calculate by Google Scholar. As an International, open-access, and online journal, Publishing with us ensures wider reach, academic credibility, and enhanced recognition for your work.
For more details, refer to the official notice: UGC Public Notice
⭐ Low Cost ₹1570 | 📚 UGC CARE Approved | 🔍 Peer-Reviewed | 🌐 Open Access | 🔗 Crossref DOI & Global Indexing | 📊 Google Scholar Impact Factor | 🧪 Multidisciplinary
Submit Paper Online Call for Paper About IJNRD UGC CARE Approval
Important Dates for Current issue
Paper Submission Open For: February 2026
Current Issue: Volume 11 | Issue 2 | February 2026
Impact Factor: 8.76
Last Date for Paper Submission: Till 28-Feb-2026
Notification of Review Result: Transparent peer review process - your paper is evaluated by experts, and you receive acceptance or rejection updates via email and SMS.
Publication of Paper: Once all documents are submitted, your paper is published without delay, and you can instantly download your certificate and confirmation letter online.
Frequency: Monthly (12 issue Annually).
Journal Type: IJNRD is an international open-access journal offering Low Cost Journal Publication, transparent Peer Review Journal Publication, Crossref DOI, and multidisciplinary research visibility under UGC CARE Approved Journal Publication.
Subject Category: Research Area
Approval, Licenses and Indexing: More Details
Call For Paper - Volume 11 | Issue 2 | February 2026
IJNRD.org offers low-cost journal publication starting at ₹1570 with UGC CARE Approved, refereed, peer-reviewed, open-access publishing. This multidisciplinary monthly journal, available in both online and print formats, features a strong Google Scholar-based impact factor of 8.76, Transparent Peer Review, CrossRef DOI, global indexing, fast publication, and complete metadata for maximum research visibility and citation impact across multidisciplinary domains.
Volume 11 | Issue 2 | February 2026 | IJNRD Transparent Peer Review Certificate | Submit Paper Online
⭐ UGC CARE Approved Refereed Journal | 🔍 Transparent Peer Review | 🌐 Open Access Publishing | 💰 Low-Cost ₹1570 | 🔗 CrossRef DOI & Global Indexing | 📊 Google Scholar Impact Factor 8.76 | 🧪 Multidisciplinary | Online & Print
Submit Paper Online
