Images about adverse event analysis as clues, ai-driven target identification, automated hypothesis generation, clinical trial candidate selection, clustering and similarity-based discovery, continuous learning systems, drug combination synergy prediction, federated learning for privacy-preserving insights, high-throughput virtual screening, knowledge graphs and reasoning engines, mechanistic insight into drug actions, multi-omics integration, natural language processing for literature mining, network pharmacology approaches, patient stratification and precision repurposing, phenotypic screening analysis, predictive modeling of drug-target interactions, predictive toxicology and safety profiling, real-world evidence extraction, and reinforcement learning for optimization.