Faster Feedback Loops in Biology (Fireside Chat + Happy Hour)

​What would it take to build models that actually predict which drugs will work in humans, before we run expensive, years long trials that mostly fail?

​We're missing the datasets needed to capture the complexity of human biology, the tacit knowledge locked in failed experiments, and the clinical signals that disappear between the patient and the database.

​Join Tacit Machines and 1Day Sooner for a fireside chat where Ruxandra Teslo interviews special guests on how to create faster feedback loops in biology: what datasets are missing, why do lab results so often fail to translate to patients, and could unlocking data from failed trials and FDA submissions help us learn faster?

​Guests will include a curated group of biotech founders, ex-FDA, policy leaders, scientific progress writers, and deep tech investors.