Proceedings of the International symposium on Sustainable Drug Design and Nanoparticle development: Quantum and Computational Perspectives (SDDNDQCP 2025)

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AI in Pharmacy: The Transformative Impact of Artificial Neural Networks on Pharmaceutical Research

Authors
Puttamreddy Kavyasri1, G. Swarna Latha2, E. Usha Rani3, Durga Ganesh Jami4, Prasanthi Samathoti1, *
1Department of Pharmaceutics, Mohan Babu School of Pharmaceutical Sciences (Sree Vidyanikethan College of Pharmacy), Tirupati, Andhra Pradesh, India
2Department of Pharmaceutical Chemistry, Mahathi College of Pharmacy, Madanapalle, Annamayya District, Andhra Pradesh, India
3Koringa College of Pharmacy, Korangi, Andhra Pradesh, India
4Stira Pharmaceuticals LLC, Fairfield, Newjersey, USA
*Corresponding author. Email: prasanthiram84@gmail.com
Corresponding Author
Prasanthi Samathoti
Available Online 13 August 2025.
DOI
10.2991/978-94-6463-813-4_10How to use a DOI?
Keywords
Artificial intelligence; artificial neural networks; AI applications; ANN architecture; ANN types; drug discovery using AI
Abstract

Artificial intelligence (AI), notably artificial neural networks (ANNs), is right now propelling an evolution in pharmaceutical research and development (R&D). This study explores the classification, applications, and uses of AI and ANNs in the pharmaceutical business, focusing on their significance in drug discovery, precision medicine, and market analytics. For the purpose of accelerating the development process, ANNs have been crucial for analyzing complex datasets, enhancing medication compositions, and predicting patient reactions. Additionally, the use of AI technologies has changed market strategies by permitting tailored healthcare and effective resource allocation. Despite limitations like data quality and legal barriers, the use of AI and ANNs has enormous potential to increase productivity, reduce expenses, and enhance patient outcomes. This paper discusses the importance of artificial intelligence (AI) in transforming pharmaceutical innovation and offers some avenues for further research.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International symposium on Sustainable Drug Design and Nanoparticle development: Quantum and Computational Perspectives (SDDNDQCP 2025)
Series
Advances in Health Sciences Research
Publication Date
13 August 2025
ISBN
978-94-6463-813-4
ISSN
2468-5739
DOI
10.2991/978-94-6463-813-4_10How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Puttamreddy Kavyasri
AU  - G. Swarna Latha
AU  - E. Usha Rani
AU  - Durga Ganesh Jami
AU  - Prasanthi Samathoti
PY  - 2025
DA  - 2025/08/13
TI  - AI in Pharmacy: The Transformative Impact of Artificial Neural Networks on Pharmaceutical Research
BT  - Proceedings of the International symposium on Sustainable Drug Design and Nanoparticle development: Quantum and Computational Perspectives (SDDNDQCP 2025)
PB  - Atlantis Press
SP  - 124
EP  - 138
SN  - 2468-5739
UR  - https://doi.org/10.2991/978-94-6463-813-4_10
DO  - 10.2991/978-94-6463-813-4_10
ID  - Kavyasri2025
ER  -