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Jesse: programming language has no correlation with anything around working with data in any domain. Python or C# or Java or whatever are all fine. As you state, and from a vendor standpoint this is our design challenge, is to find generally applicable ways to take data collected in experiments and map it into some useful analytic or ML or DL such that it can serve as an adjunct to the scientists in discovery or data interpretation/understanding. At Sapio we are starting initially with Flow Cytometry data ( https://www.sapiosciences.com/flow-cytometry-data-analysis ), but there is so much more we can and will be doing in life sciences domain. It's exciting time having all these new methods and approaches that could be brought to bare on tough data problems.

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