Department of Nanotechnology and Organic Chemistry, China
Commentary
Utilizing artificial intelligence and computational modeling in Nanomedicine
Author(s): Adesina Meredith*
The integration of artificial intelligence (AI) and computational modeling in nanomedicine has emerged as a transformative
approach to address the complexities and challenges associated with developing effective nanomedical solutions. This
abstract provides an overview of the diverse 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 structures and predicting interactions with biological targets. Additionally, AI-driven models optimize targeted drug
delivery by tailoring nanocarrier properties and predicting pharmacokinetics and biodistribution. Computational modeling
elucidates nanomaterial-biological interactions, guiding rational design and personalized medicine through molecular dynamics
simulations, quantitative structure-ac.. View more»