What excites you most about what Reveal is doing right now?
Honestly everything—using AI to diagnose disease in pathology is a really fast-moving space. We’ve been using machine learning to generate quantitative data in pathology for a while, but we are beginning to reach the point where this technology can outperform humans for some applications. Personally I am excited by some of our predictive models where we are integrating different types of data including pathology, clinical outcomes, and genomic data, to build prognostic models that will be able to help inform patient treatment strategies in ways we haven’t seen before.
Another exciting aspect of this cloud-based technology is the potential to expand globally, particularly to areas where there is unmet medical need. In Kenya for example, there is a huge shortage of pathologists—only about 120 in the whole country. This means that many patients don’t have access to advanced pathology diagnostics. I can see that this technology has the potential to benefit patients throughout the world.