Strategies of Artificial intelligence tools in the domain of nanomedicine

Nanomedicine is a field of medicine that uses nanotechnology to develop new diagnostic tools and therapies for a wide range of medical conditions. It encompasses a variety of different approaches, including the use of nanoparticles, nano-robots, and nanodevices. Some examples of how nanotechnology is being used in medicine include drug delivery, diagnostics imaging, tissue engineering, and biomedical devices. One of the main advantages of using nanomedicine-based drug delivery is the ability to deliver drugs at fixed and controlled doses. This is achieved by engineering nanoparticles to release drugs at a specific rate, which can be attuned to match the desires of the patient. Determining the optimal combination of nanotherapy, dosages, and administration schedule can be challenging, as it requires a thorough understanding of the pharmacokinetics and pharmacodynamics of the drugs, as well as the patient's individual physiognomies and the stage of the disease. To overcome this challenge, researchers and practitioners are increasingly using computational models, Artificial intelligence and machine learning algorithms, and personalized medicine approaches to predict the optimal drug combination, dosage, and administration schedule for each patient. In this review, we were given the outline of the different Artificial intelligence tools for the prediction of nanomedicine in the field of various medical applications.