Artificial Intelligence and Machine Learning Applied Interpretation and Analysis of Formulated Curcumin Loaded Nanoparticles for Antibacterial Activity

Main Article Content

Eisha Ganju
Bhaskar Kumar Gupta

Abstract

Artificial Intelligence and Machine Learning studies of data collected during the research and review studies has been done using Jupyter Notebook (Anaconda). Pie chart along with exclusive graphs like tree map, donut graph and others are used to make a comprehensive study of the data. Curcumin-piperine loaded nanoparticles are prepared successfully using Fessi method. The antimicrobial activity of Curcumin-Piperine(Cu-Pi) loaded nanoparticles (NPs) is studied, focusing on the effect of  nanonization with bioavailability enhancer (piperine) on the Minimum Inhibitory concentration  and growth inhibition.

Article Details

How to Cite
Ganju, E. ., & Kumar Gupta, B. . (2023). Artificial Intelligence and Machine Learning Applied Interpretation and Analysis of Formulated Curcumin Loaded Nanoparticles for Antibacterial Activity. Journal of Coastal Life Medicine, 11(1), 651–659. Retrieved from https://www.jclmm.com/index.php/journal/article/view/390
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Articles

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