Faster than traditional drug development.
Wetlab experiments. Patients needed until P2.
Better models than PRS.
Assets currently in development in pipeline.
Wed May 04 2022
It is always said that the job of a Data Scientist constitutes 20% modeling and 80% data cleaning. Every dataset that you deal with presents various challenges, the majority of which focus on the question of feasibility of the dataset itself. One of the sub-questions we ask as part of this is: Are there enough useable examples in order for our predictive models to generalize across wider populations?