Artificial intelligence and machine learning driven nanorobotics for targeted brain delivery: Redefining blood-brain...

Area of Science:

• Neuroscience
• Biomedical Engineering
• Nanotechnology

Background:

• The blood-brain barrier (BBB) is crucial for central nervous system (CNS) homeostasis but hinders drug delivery.
• BBB dysfunction is linked to neurological disorders and brain cancers.

Purpose of the Study:

• To review advanced in vitro models and nanomaterial-based strategies for BBB penetration.
• To highlight the potential of nanorobots and AI-driven systems for targeted drug delivery across the BBB.

Main Methods:

• Development of advanced in vitro models (3D cultures, organoids, microfluidics).
• Integration of biomolecular tools and nanomaterial engineering for targeted delivery.
• Exploration of nanorobots, AI, and machine learning for BBB traversal.

Main Results:

• Innovative models improve understanding of BBB transport and drug delivery.
• Nanorobots and nanosystems demonstrate potential for precise BBB modulation and penetration.
• AI and robotics offer transformative capabilities for intelligent nanorobot design.

Conclusions:

• Advanced models and nanotechnologies are crucial for overcoming BBB challenges in neuropharmacology.
• Targeted delivery systems, including AI-guided nanorobots, hold significant therapeutic potential for brain diseases.
• This review provides a resource for developing innovative BBB-targeted therapies.