AI-DRIVEN DIGITAL TRANSFORMATION IN REGENERATIVE PHARMACY: ADVANCING CLINICAL PRACTICE AND ENHANCING PATIENT-CENTERED OUTCOMES

Abstract

Regenerative pharmacy — the intersection of pharmacy practice with regenerative medicine, cell and gene therapies, and tissue engineering — is undergoing rapid transformation driven by digital technologies and artificial intelligence (AI). This paper examines how AI-enabled digital transformation can reshape clinical roles, improve patient-centered outcomes, accelerate drug and biomaterial development, and reinforce safety and regulatory compliance in regenerative therapies. The paper presents a conceptual framework for integrating AI into regenerative pharmacy workflows, discusses potential clinical applications (personalized dosing, pharmacogenomics, supply chain for cell/gene therapies, telepharmacy and remote monitoring), explores implementation barriers (data quality, interoperability, ethical and regulatory concerns), and outlines research and policy recommendations to facilitate safe, equitable adoption. The introduction and literature survey cite twenty foundational and recent sources [1]–[20] to situate the discussion in contemporary evidence. The rest of the manuscript synthesizes those insights into actionable models, use-case vignettes, and a roadmap for translational research and clinical adoption.