AI-POWERED DRUG INTERACTION PREDICTION SYSTEM FOR PERSONALIZED MEDICATION MANAGEMENT

Artificial intelligence (AI) has the potential to revolutionize the drug discovery process, offering improved efficiency, accuracy, and speed. In the context of personalized medicine, predicting drug interactions is crucial for developing custom-made treatment plans that minimize the risk of adverse reactions. This article reviews the benefits, challenges, and drawbacks of AI in drug discovery, highlighting strategies and approaches to overcome obstacles. We discuss data augmentation, explainable AI, and integrating AI with traditional experimental methods.