Artificial Intelligence in Herbal Drug Delivery Systems: Formulation Design and Optimization Strategies

The field of pharmaceutical sciences is undergoing a rapid transformation thanks to artificial intelligence (AI), especially in the creation of herbal drug delivery systems. Because of their natural origin, therapeutic efficacy, and fewer side effects, herbal medicines have long been used to treat and prevent a variety of disorders. However, their therapeutic use is frequently restricted by issues like poor solubility, limited bioavailability, phytoconstituent instability, and diversity in herbal composition. Advanced methods for getting around these restrictions through exact formulation design and optimization procedures have been made possible by the use of AI into herbal formulation research. Large datasets pertaining to phytochemicals, excipients, and formulation characteristics are analyzed by researchers with the aid of AI-based methods including machine learning, artificial neural networks, and predictive modeling. These methods help with regulated drug release, stability profiles of herbal formulations, nanoparticle size optimization, and drug–excipient compatibility prediction. Additionally, AI lessens the time, expense, and experimental burden associated with traditional trial-and-error methods. Additionally, by evaluating patient-specific reactions and enhancing treatment results, AI-driven solutions facilitate customized herbal therapy. Advanced systems like liposomes, phytosomes, nanoemulsions, and polymeric nanoparticles for the targeted and prolonged release of herbal medicines have been made possible by the use of AI in herbal drug delivery. Despite a number of benefits, issues with data accessibility, regulatory acceptability, and standardization persist. All things considered, combining artificial intelligence with herbal pharmaceutics is a promising strategy for enhancing the effectiveness, safety, quality, and repeatability of herbal medications, greatly advancing drug delivery research and contemporary healthcare.