“Initially we were focused on building up the machine learning tools, but very quickly we found that the big data aspect of annotation is a very interesting and an important stage of this project. We’ve spent a lot of time on this, because we need to annotate a large quantity of data, but at the same time we needed to figure out an effective and efficient way of doing that.”
Daqing He, PhD, Professor at the School of Computing and Information of the University of Pittsburgh and the Principal Investigator of CARE
There had been a lot of strong collaboration between researchers at Pitt and clinicians at UPMC providing clinical input, and between researchers at Pitt and market experts at UPMC Enterprises to provide perspectives, but CARE is an example where you have a product team at UPMC Enterprises working side-by-side with a research team at Pitt to build tools in a way that ensures it is readily deployable.
Andrew Brown, PhD, Assistant Director of Commercial Translation Programs at sciVelo
Before I was awarded this project, sciVelo invited me to visit and give a presentation. The sciVelo team (led by Aneesh Ramaswamy) told me what I should pay attention to, what needs to be emphasized, what needs to be clarified, and how I can improve my presentation. I found that extremely useful.
Daqing He, PhD
The CARE project is an excellent example of one way academic research can be translated to solve meaningful problems in healthcare when the right experts work together and the support infrastructure is in place, which is exactly what the PHDA is set up to encourage.
– Zariel Johnson, PhD, PHDA Program Manager, UPMC Enterprises