AI-Based Theranostic System Using Bacopa monnieri-Loaded Magnetic Nanoparticles for Alzheimer’s Disease

Background

Alzheimer’s Disease (AD) is one of the progressive neurodegenerative disorders which have a complex pathology and very limited therapeutic options.

Objectives

This study presents a dual-purpose theranostic approach integrating Artificial Intelligence (AI)-based diagnosis with a nasal drug delivery system utilizing Bacopa monnieri-loaded Magnetic Nanoparticles (MNPs).

Materials and Methods

Convolutional Neural Network (CNN) model was trained using MRI datasets to classify AD stages with high accuracy. Further, magnetic nanoparticles were synthesized, functionalized with lactose, and loaded with Bacopa monnieri extract.

Results

These nanoparticles exhibited favorable characteristics such as optimal particle size (150-300 nm), high zeta potential for stability, and sustained drug release. In vitro assays demonstrated significant antioxidant activity and permeability through nasal mucosa.

Conclusion

The integrated platform offers a non-invasive, targeted delivery system for AD therapeutics along with AI-assisted early diagnosis, making it a promising candidate for clinical translation in personalized medicine.