Abstract
As the world grapples with the pressing challenges of sustainability and the intricate complexities of neurodegenerative diseases, this chapter delves into the innovative convergence of sustainable green nanotechnology and artificial intelligence/machine learning (AI/ML) to develop advanced nanocarriers. The synergy of these two cutting-edge fields promises a paradigm shift in the landscape of neurodegenerative disease treatment. This chapter explores the potential benefits and transformative impacts of integrating sustainable green nanotechnology and AI/ML in designing and optimizing nanocarriers. By harnessing the power of sustainable materials and leveraging the computational capabilities of AI/ML, we aim to create nanocarriers that demonstrate enhanced efficiency in drug delivery and adhere to environmentally friendly practices. Key topics discussed include utilizing eco-friendly nanomaterials, applying machine learning algorithms for intelligent design and predictive modeling, and the overall impact on developing sustainable and efficient nanocarriers. The chapter also addresses the challenges and ethical considerations associated with this convergence, emphasizing the importance of responsible innovation in healthcare. Through this exploration, we envision a future where sustainable green nanotechnology and AI/ML fusion catalyze the emergence of novel nanocarriers, offering unprecedented precision and sustainability in treating neurodegenerative diseases. This work contributes to the ongoing discourse on the intersection of nanotechnology, artificial intelligence, and sustainable practices, opening new avenues for research and development in the quest for improved therapeutic interventions for neurodegenerative disorders.
| Original language | English |
|---|---|
| Title of host publication | The Neurodegeneration Revolution |
| Subtitle of host publication | Emerging Therapies and Sustainable Solutions |
| Publisher | Elsevier |
| Pages | 373-397 |
| Number of pages | 25 |
| ISBN (Electronic) | 9780443288227 |
| ISBN (Print) | 9780443288234 |
| DOIs | |
| Publication status | Published - 01-01-2024 |
All Science Journal Classification (ASJC) codes
- General Psychology