Generative artificial intelligence and large language models in pharmaceutical formulation and personalized pharmacy: a review of opportunities, technical constraints, and regulatory readiness

Key Points

• The central aim is to evaluate the opportunities and constraints of integrating generative AI and LLMs in pharmaceutical formulation.
• Review of literature on generative AI and large language models in pharmacy
• Analysis of development processes influenced by AI
• Examination of regulatory frameworks related to personalized pharmacy
• GenAI and LLMs could significantly accelerate pharmaceutical development
• Potential for customized therapies with personalized formulation
• Need for thorough validation and alignment with regulatory standards to ensure safety and efficacy