Role of artificial intelligence in pharmaceutical drug development and drug delivery: An updated review

• Author Details:   
• Joshi Ankur ^*
• Priyanka Soni
• Purva Khemani
• Gulfisha Shaikh
• Usha Vishwakarma
• Shashank Sharma
• Neelesh Malviya
• Sapna Malviya
• Anil Kharia

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AI accelerates problem-solving by using human knowledge, transforming pharmaceutical development, formulation, and testing. By analyzing genomic and proteomic data, AI identifies disease targets and predicts drug interactions, improving drug discovery efficiency. AI optimizes research, reducing costs, and aids trial design by predicting pharmacokinetics and toxicity, prioritizing lead compounds without animal testing. Personalized medicine using AI improves treatment outcomes and adherence. This study explores AI in PK/PD studies, process optimization, testing, drug delivery, and the advantages and challenges of AI-based pharmaceutical technologies. The pharmaceutical industry funds AI-driven medicine research and patient care.

Keywords: Artificial intelligence (AI); Machine learning; drug discovery; formulation; Dosage form testing; Pharmacokinetics; Pharmacodynamics; Physiologically based pharmacokinetic (PBPK); Quantitative structure-activity relationship (QSAR)