Over 90% of drug candidates fail before reaching market approval, costing biopharma billions and delaying life-saving therapies. The white paper Why Drug Discovery Fails and How AI is Changing the Equation explores the root causes, data overload, poor early predictions, and outdated statistical models and introduces how AI in drug discovery, specifically BullFrog AI’s bfLEAP™ causal AI platform, is transforming R&D. Learn how measurement-centric, biologically tuned AI enables smarter decisions in early discovery, clinical trials, and precision medicine by handling complex multi-omics data, improving patient stratification, and increasing trial success rates. Download now to understand how AI-powered predictive analytics can accelerate drug development and reduce costly failures.
