Predictive Drug Discovery: How AI Is Transforming Biomedical Innovation
Pharma leaders are converging on a shared shift: AI is moving drug discovery from slow, experimental search to fast, predictive design. Case studies from AstraZeneca, Bristol Myers Squibb, and Merck reveal a common blueprint built on graph neural networks, generative models, and unified data pipelines. These capabilities accelerate molecular invention, strengthen clinical decisions, and redefine how R&D teams operate in the next decade.