Author(s):
Shailaja Pashikanti, Sudhakar Reddy. N, Reshma Sanapala, Shiva Kumar. M
Email(s):
drpshailaja@andhrauniversity.edu.in , reddysudhakar034@gmail.com , sanapalareshma2000@gmail.com , sr8300763@gmail.com
DOI:
10.52711/0975-4377.2025.00005 
Address:
Shailaja Pashikanti1, Sudhakar Reddy. N2, Reshma Sanapala3, Shiva Kumar. M4
1Associate Professor, Department of Pharmaceutics, Andhra University, Visakhapatnam, 530003, India.
2M. Pharmacy, Department of Pharmaceutics, Andhra University, Visakhapatnam, 530003, India.
3M. Pharmacy, Department of Pharmaceutics, Andhra University, Visakhapatnam, 530003, India.
4AGM-Formulation R&D, Lee Pharma Limited, Visakhapatnam, 530049, Andhra Pradesh, India.
*Corresponding Author
Published In:
Volume - 17,
Issue - 1,
Year - 2025
ABSTRACT:
Neural networks are a key component of formulation design, and the integration of artificial intelligence (AI) into drug development is revolutionizing the pharmaceutical industry. To solve the issues of cost, accuracy, and efficiency, AI-powered models—in particular, deep learning networks—are being used more and more to forecast and optimize medication compositions. Neural networks are capable of predicting solubility, stability, and bioavailability as well as suggesting optimal compositions by examining large datasets and identifying non-linear correlations between formulation components. The time required to produce new medications is greatly decreased by this methodology, which speeds up the conventional trial-and-error method. AI may also improve personalized medicine by customizing medication formulas to meet the demands of each patient. The use of neural networks in drug formulation is examined in this research, which also highlights recent developments, difficulties, and potential paths for AI-powered drug development.
Cite this article:
Shailaja Pashikanti, Sudhakar Reddy. N, Reshma Sanapala, Shiva Kumar. M. AI-Powered Formulation Design: Neural Networks in Drug Development. Research Journal of Pharmaceutical Dosage Forms and Technology. 2025; 17(1):31-6. doi: 10.52711/0975-4377.2025.00005
Cite(Electronic):
Shailaja Pashikanti, Sudhakar Reddy. N, Reshma Sanapala, Shiva Kumar. M. AI-Powered Formulation Design: Neural Networks in Drug Development. Research Journal of Pharmaceutical Dosage Forms and Technology. 2025; 17(1):31-6. doi: 10.52711/0975-4377.2025.00005 Available on: https://rjpdft.com/AbstractView.aspx?PID=2025-17-1-5
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