Harnessing Artificial Intelligence for Rational Drug Design and Precision Delivery: Bridging Computational Intelligence with Chemical Innovation
TL;DR
This paper examines and views the new innovations in combining the use of AI into harmonized medication design and targeted delivery systems, and analyzes AI-driven molecular design with synthetic level reports, emphasizing explainable AI, digital twin platforms, and translations that characterize the next generation of precision pharmaceuticals.
Abstract
Artificial-intelligence (AI) is transforming the pharmaceutical industry by simplifying data-driven innovations in drugs’ research and delivery systems. This paper examines and views the newinnovations in combining the use of AI into harmonized medication design and targeted delivery systems. AI-driven models speed-up molecular design, predict pharmacokinetic outcomes, and improve the nanocarrier preparations, reducing the costs and time associated to conventional experimental techniques. Furthermore, AI contentsmake use of computational chemistry and synthesis-based science, improving medicinal effectiveness, precision, and controlled release. It highlights ethical implications and the interaction between computational intelligence and chemical innovation as a means to advance next-generation intelligent therapies and precision medicine. Also, it analyzes AI-driven molecular design with synthetic level reports, emphasizing explainable AI, digital twin platforms, and translations that characterize the next generation of precision pharmaceuticals, distinguishing it from previous narrative reviews.