“To build predictive models of therapeutic response (like in cancer) or of chronic disease progression (like in diabetes), you need three fundamental components: domain knowledge from which you can select the features and outcomes for your desired prediction task, data scientists who can build test and scale machine learning models, and real-world data to evaluate the performance of your models. From the start, Zephyr has been focused on excelling across these dimensions."
“I feel like there are a lot of problems that we didn't encounter because we adopted Dagster so early."












