Utilization of artificial intelligence and computational modeling in nanomedicine

Abstract

The utilization of AI (Artificial Intelligence) and computational modeling in nanomedicine has emerged as a transformative approach which supposed to tell the complexities and challenges associated with developing effective nanomedical solutions. This AI abstract provides a summary of the applications and benefits of AI and computational modeling in nanomedicine. AI techniques including machine learning and deep learning, enable accelerated drug discovery and design by analyzing molecular structure and identifying the interaction of nanoparticles with the biological system. AI models optimize targeted drug delivery by framing nanocarrier and predicting pharmacokinetic and pharmacodynamic actions. Computational modeling helps to estimate nanomaterial-biological interaction, guiding rational design and quantitative structure activity relationship modeling. While the integration of AI and computational modeling offers significant advantages, challenges such as data integration and model validation.