Drug repurposing opportunities are discovered through mechanism-based hypothesis generation, insights from clinical observation, and experimental and computational screening. In this blog post, we explore how studying existing medicines can uncover new, affordable treatment options by building on decades of research and real-world evidence.

Cancer patients who contract COVID-19 and their doctors need to quickly find information about potential treatments, but there’s so much data that it’s impossible to make sense of it all. We applied our AI technology to rapidly aggregate the most relevant studies on COVID-19 and cancer. Now that we’ve completed this proof-of-concept, we’re scaling this approach to synthesize the cancer data for all non-cancer generic drugs. This will enable us to find the most promising generics to repurpose for cancer.