AI in Pharmaceutical Nanotechnology: Current Advances and Future Prospects

Artificial intelligence (AI) is a branch of machine learning that enables machines to think critically and make complex decisions, much like humans. Nanotechnology is a specific technique for targeting a particular site or tissue, or a specific receptor that is overexpressed in certain disease conditions. This approach minimises the drug dose, which decreases its toxicity. Modern medication research, development, and delivery have been completely transformed by the incorporation of AI into pharmaceutical nanotechnology. The fundamental ideas of AI and ML are outlined in this review, along with how they are used to nanomedicine, namely in the search for predictive biomarkers for precision-guided nanotherapeutics. The review also looks at recent developments in AI-driven pharmaceutical nanotechnology, such as its application in smart nanomedicine creation, targeted drug delivery systems, nano-diagnostics, and nano-sensors. New developments and case studies demonstrate how AI is revolutionizing nanocarrier development by increasing accuracy, productivity, and creativity. Artificial intelligence may play a significant role in developing nanotechnological products, possibly greatly improving their quality and efficiency. Examples of areas where artificial intelligence can be useful in nano-formulation development include selecting specific excipients. It may also monitor critical parameters leading to the development of stable formulations and enhance the efficiency of devices utilizing nanotechnology for diverse applications, such as disease diagnosis and environmental sensors. AI can also be helpful in data analysis and optimization processes related to nanoformulations. Such a synergistic approach with AI may mean challenges but also opens possibilities for the area of nanotechnology and might unlock future research opportunities in nanoscience.