How can regenerative medicine goals be advanced by having better computational data science platforms. How do we best handle our data, how do we design our experiment so that we are collecting the right data, and how can we optimize that collection knowing how we want it to look. What tools are available to students and faculty that can improve their collection and analysis. Is there a place for machine learning in regenerative medicine, and how would we implement it?
Biomedical Research Centre Rm 351!