White Papers

Spectra™ Target Discovery Platform De-Risks Investment Decisions by Predicting Avoidable Clinical Trial Failures

NEW YORK – The Problem: High Failure Rates, Patient Impact, and Capital Drain Drug discovery and development remains one of the most challenging and resource-intensive processes in modern medicine. With development timelines spanning 10-15 years and costs exceeding $1-3 billion per approved drug1, the need for more efficient target identification methods has never been more critical. Traditional approaches, heavily reliant on expensive in vitro and in vivo experiments, face substantial failure rates, with about 90% of drug candidates failing during clinical trials.1 An improved capability for identifying likely efficacious and nonefficacious novel targets could increase the odds of clinical trial success, bringing successful treatments to patients more quickly and effectively.

Clinical Trial Ranking Report
The Prediction Engine for Clinical Research