Work

QbD-PharmOptima: A New Research and Educational Generative Platform for AI-Assisted Design and Optimization of Drug Delivery Systems and Pharmaceutical Operations

Year: 2026

Type: article

Abstract: Background/Objectives: The integration of artificial intelligence (AI) into pharmaceutical sciences and industry can accelerate the design and optimization of drug delivery systems and biotechnological processes and operations. Methodology: In this work, we present a novel application (a platform) developed using Google AI Studio, a web-based environment for prototyping generative AI solutions powered by highly capable models such as Gemini. The application enables rapid design of experiments (DoE), drug formulations and processes through structured prompting and automated workflows using a simple, user-friendly interface. Results: The platform could integrate formulation material attributes and critical process parameters to assist in the rational design of conventional and advanced delivery systems or any industrial process. Conclusions: This study highlights the potential of generative AI to accelerate pharmaceutical and biotechnological innovation, reduce experimental burden, and support pharmaceutical industry strategies.

Source: BioChem

DOI: 10.3390/biochem6030022

Authors: Rania M. Hathout, Shaimaa S. Ibrahim, Ghadir S. El-Housseiny

Institution: Ain Shams University

Language: English

Topic: Computational Drug Discovery Methods

Subfield: Computational Theory and Mathematics

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $1,207