A review exploring the translational perspective of artificial intelligence in drug discovery and formulation development

Key Points

• AI can streamline the drug discovery process, enhancing efficiency in formulation development.
• Machine learning algorithms have shown promise in predicting successful drug interactions, improving overall outcomes.
• The review discusses the potential of AI to reduce costs and time involved in bringing new medications to market.
• These advancements may enable more targeted therapies, paving the way for personalized medicine.