This work is like a detailed map of how scientists are using AI to find new medicines. Instead of inventing a single AI tool, it surveys thousands of research papers to show where AI is helping most in drug discovery, which tools are popular, and how the field is evolving.
R&D leaders and researchers lack a clear, data‑driven view of where AI is actually adding value in drug discovery versus where it is still hype. This paper aggregates and analyzes the scientific literature to identify the main application areas, methods, and trends, helping decision‑makers prioritize investments and partnerships.
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Early Majority
This is not an operational AI platform but a meta-analysis of the AI-in-drug-discovery research ecosystem. Its differentiation lies in consolidating bibliometric data (who is publishing what, where, and on which topics) and combining it with a structured literature review, giving a higher-level strategic view than individual AI tools or point solutions.