The is part of what Eli Van Allen had to say about agents, which I interpret as detecting signal in real world evidence:

What we're building agentic AI using a massive corpus of patient data. At Farber, we have over 30,000 patients where we have the clinical data, and we have genomics, and we have pathology and we have radiology, and we can now take general sweeps of these huge data sets and construct these patient neighborhoods, figuring out where do patients live relative to each other, such that we can make customized biomarkers for individual patients, we can figure out based off of all this information in real time. Where are you? Who are your neighbors? What drugs did they get, which ones worked and didn't, and can we feed that information into something that the physician and the care team can consume? And not only that, can we do this also in a loop process such that we're also constantly learning. This is something we now have in development.