Application of artificial intelligence and deep learning in pharmacy

This review article explores the transformative applications of Artificial Intelligence (AI) and Deep Learning in the pharmaceutical industry. It covers ۲۱ primary topics, emphasizing AI's pivotal role in drug repurposing, analyzing drug-drug interactions (DDIs) and side effects, optimizing drug discovery, processing genetic data, advancing cell culture techniques, and enhancing modeling methodologies. Additionally, it discusses optimizing clinical processes, predicting treatment responses, simulating and modeling diseases, discovering biomarkers, developing personalized medications, forecasting disease outbreaks, optimizing drug production, and advancing early disease detection. The article also analyzes scientific literature, evaluates the effectiveness of pharmaceutical processes, discovers and simulates new molecules, diagnoses and treats rare diseases, enhances research and development in pharmaceuticals, and examines the social and economic impacts of AI in drug development. Conclusively, this comprehensive review underscores AI's significant influence in revolutionizing the pharmaceutical landscape.

کلیدواژه ها:

Artificial Intelligence ، Deep Learning ، Drug Repurposing ، Drug-Drug Interactions ، Drug Discovery Optimization ، Disease Simulation ، Biomarker Discovery ، Personalized Medicine ، Drug Production ، Pharmaceutical Effectiveness