APPLICATION OF ARTIFICIAL INTELLIGENCE IN NANOFORMULATION TECHNOLOGY
*Mayur Borade, Sarika Sadgir, Manisha Binnar, Jayashree Mahale, Dhanashree More, Priyanka Mudgan
ABSTRACT
Artificial Intelligence (AI) has emerged as a transformative tool in pharmaceutical sciences, particularly within the field of nanotechnology. Nanoformulations—such as nanoparticles, nanoemulsions, nanocrystals, and liposomes—are extensively used to enhance solubility, bioavailability, and targeted drug delivery. Traditionally, developing these systems relies on labor-intensive and costly experimental trials. AI, through machine learning and predictive modeling, offers a more efficient and rapid alternative by forecasting formulation outcomes, optimizing development processes, and minimizing trial-and-error approaches. This review explores the role of AI in nanoformulation technology, highlighting its applications, benefits, limitations, and future potential. By analyzing complex datasets, AI facilitates the prediction of drug–excipient compatibility, particle size distribution, release kinetics, toxicity, and in vivo performance. Furthermore, AI is propelling advancements in personalized nanomedicine, high-throughput screening, and smart drug delivery systems. Despite challenges such as data quality, interpretability, and regulatory hurdles, AI holds significant promise for revolutionizing drug development and precision medicine.
Keywords: .
[Full Text Article]
[Download Certificate]
Impact Factor : 8.181 
