Smart Synergy: Harnessing Machine Learning for Advanced Nanotechnology in Healthcare

Abstract

Nanotechnology has emerged as a transformative field with immense potential for revolutionizing healthcare by enabling precise diagnostics, targeted drug delivery, and innovative therapeutic approaches. The integration of machine learning (ML) with nanotechnology holds promise in overcoming existing challenges and unlocking new frontiers in personalized medicine and disease management. This paper explores the synergies between machine learning and nextgeneration nanotechnology applications in healthcare. Medical applications of nanotechnology are maturing, but automated composite design faces unique challenges. To realize the full potential of nano-delivery systems and accelerate the development process, new ideas require the use of learning models, although machine learning has made it possible to influence this in the scientific literature.