The role of artificial intelligence in drug development: enhancing pharmaceutical chemistry through machine learning and predictive modeling
Deepak Kumar Dash, Satyanarayan Pattnaik, Arpita Namdeo · Drug Development and Industrial Pharmacy · 2025
OBJECTIVE: To explore the application of artificial intelligence (AI) and machine learning (ML) in enhancing drug design and development processes within the pharmaceutical industry. SIGNIFICANCE: Drug design and improvement remain critical areas for chemical scientists and the pharmaceutical industry. Traditional drug development methods often suffer from low efficiency, unintended targeting, lengthy timelines, and high costs, posing significant challenges to the advancement of drug research. CONCLUSION: Incorporating AI and ML technologies into pharmaceutical research can revolutionize the drug development landscape by making processes more efficient, precise, and environmentally sustainable. Continued advancements in AI-driven methodologies promise transformative impacts on healthcare and drug accessibility worldwide.