@MT_6226 You're conflating the current system of infrequent scans analyzed by docs to the upcoming system of frequent scans analyzed by increasingly advanced AI, backed by parallel advances in molecular diagnostics
@AmandaAskell If we scan more often, the AIs will have a robust enough training dataset to distinguish between "incidentalomas" and actual malignancies. It's an easy slam dunk in favor of acquiring more data
@pannapacker One excellent example of this is prerequisite courses expiring for graduate schools. If a new bio grad goes to officer candidate school and serves honorably, when they get out, their prerequisite courses are "expired" for health sciences programs and have to be retaken
@aiki_godo At the same time, one could argue that the team behind daraxonrasib at Revolution Medicines are top 10 longevity heroes even if they're working on a narrow subset of longevity
@rbelcher3966@polen_ball He makes decisions that significantly advance technology and the global economy. The ability of workers to operate a soldering iron is much less important.