Exploring the Role of AI-Generated Drug Formulations in Personalized Medicine

DOI: https://doi.org/10.63345/ijrmp.v10.i9.3

Sneha Reddy

Hyderabad, Telangana

Abstract

The advent of artificial intelligence (AI) in drug discovery has marked a transformative era in personalized medicine. AI-generated drug formulations promise to optimize therapeutic interventions by leveraging computational algorithms that analyze vast datasets of chemical compounds, patient genomics, and clinical histories. This manuscript examines the development and application of AI-driven drug formulation techniques, critically reviews the literature up to 2020, and presents a statistical analysis to illustrate key performance indicators. A detailed methodology outlines the experimental design for evaluating formulation outcomes, while the results underscore AI’s potential to enhance precision in individualized treatment strategies. The conclusions drawn emphasize both current achievements and future research directions to further integrate AI into the personalized medicine framework.

Keywords

AI-generated formulations; personalized medicine; drug discovery; computational modeling; precision therapeutics

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