Artificial Intelligence (AI) Powered Self-driving Drug Discovery & Development - The increasing demand for advanced pharmaceuticals necessitates transformative approaches to drug discovery, development, and manufacturing. Conventional methods are time-consuming, costly, and insufficient to support a resilient and sustainable U.S. drug supply. This project proposes the establishment of a first-in-class, AI-powered self-driving laboratory platform in Mississippi to accelerate therapeutic discovery and enable next-generation pharmaceutical manufacturing. The proposed system integrates artificial intelligence (AI), machine learning (ML), automation, and advanced manufacturing into a closed-loop, data-driven framework. By leveraging predictive modeling and real-time experimental feedback, these self-driving laboratories will significantly reduce experimental burden, streamline workflows, and enhance decision-making across the drug development lifecycle. The research focuses on three key objectives: (1) applying AI/ML to identify novel therapeutic candidates, including small molecules and biologics, particularly for targets lacking structural information; (2) advancing AI-driven design of micro- and nanomedicine systems to optimize drug delivery properties and replace trial-and-error approaches; and (3) integrating AI/ML with 3D printing and bioprinting for the development of personalized dosage forms and improved manufacturing processes. Expected outcomes include the creation of an end-to-end AI-enabled platform spanning drug discovery, formulation, and manufacturing, along with transferable tools and datasets for broader adoption. The project will support translation to industrial applications through collaboration with academic, industry, and regulatory stakeholders. This work will enhance the efficiency, sustainability, and scalability of pharmaceutical innovation, strengthen the U.S. drug supply chain, and mitigate future shortages. Additionally, workforce development is another key outcome, as trainees and researchers will gain expertise in AI-driven pharmaceutical sciences, positioning them for leadership roles in academia and industry. Ultimately, the project establishes self-driving laboratories as a transformative paradigm for accelerating drug discovery and enabling resilient, advanced pharmaceutical manufacturing in the United States.
