Closing the data loop in AI-driven drug discovery

Drug discovery is a high-cost, high-risk endeavor that is under growing pressure from a market increasingly defined by first-mover advantage. Since the 1950s, the cost of developing new pharmaceuticals has roughly doubled every nine years—a phenomenon known as Eroom’s Law . Today, bringing a new drug to market takes an average of 10-15 years and costs anywhere from $1 billion to $2.5 billion , with failure rates upward of 90%.