AI-Assisted Nanofibers in Neural Tissue Regeneration: Application in Traumatic Brain Injury

Traumatic Brain injuries (TBI) can pose a significant challenge to neural tissue regeneration in humans, due to the Central Nervous System (CNS) limited ability to regenerate. Traditional therapeutic methods fall short in addressing the challenges associated with TBI. Some common challenges with TBI are inflammation, scar tissue formation, and presence of inhibitor factors. Advances in technology are however beginning to show promising possibilities with respect to nanotechnology that mimic the natural extracellular matrix (ECM), that allow neural cell growth and differentiation. Integration of Artificial Intelligence (AI) with advanced nanotechnology , offers promising possibilities in the enhancement of neural tissue generation. This research paper explores the use of Artificial intelligence (AI) driven approach for the fabrication of nanofibers in the treatment of TBI. Incorporation of AI and machine learning (ML) in design, composition and arrangement of nanofibers can help researchers run multiple iterations, customise nanofiber scaffolds thereby enhancing effectiveness, precision, and personalised treatment options. Machine learning models can further help predict optimal kinetic release of molecules in a controlled manner to promote neural tissue regeneration. In conclusion, The culmination of AI-driven strategies along with advanced nanomaterials offers a new scope for assisting patients with CNS injuries by restoring their neurological functioning.