Artificial intelligence in drug delivery: Transforming healthcare through smart medicine: A comprehensive review

Abstract

Artificial intelligence (AI) has become a transformative force in healthcare, significantly influencing the development and optimization of drug delivery systems. By integrating AI-driven approaches, researchers and pharmaceutical industries are revolutionizing processes such as drug discovery, formulation, targeted delivery, and personalized treatment strategies. Machine learning algorithms enable rapid identification of drug candidates and optimization of their properties, while advanced computational models support precise drug formulation and targeted delivery to specific cells or tissues. The adoption of AI-driven solutions fosters improved therapeutic outcomes, minimized side effects, and enhanced patient care. Despite these advancements, challenges such as data privacy, model interpretability, and regulatory compliance limit widespread implementation. This review provides an in-depth exploration of current AI applications in drug delivery, discusses technological breakthroughs and challenges, and offers valuable insights into future trends. It emphasizes the vast potential of AI in reshaping traditional drug delivery paradigms, ultimately advancing healthcare systems and patient outcomes.

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