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EFTA00709427

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From: Steven Sinofsky To: "jeffrey E." <jeevacation®gmail.com> Subject: Re: Date: Thu, 02 Nov 2017 22:27:58 +0000 Was at PA's Pitch@Palace. He is doing a super good job. Srsly. On Nov 2, 2017, at 10:25 PM, jeffrey E. <[email protected]> wrote: thx On Thu, Nov 2, 2017 at 6:24 PM, Steven Sinofsky < > wrote: Greetings Masha, I apologize for the delay. I was at some events in in UK where I did not have connectivity. I have worked on a related portfolio company so I will have to be a bit abstract on the specifics of this opportunity. So please excuse these brief thoughts. Also, the only information I had was what was provided in your mail which was limited relative to any detailed analysis. * In general the challenge with glucose measurement is the finger prick. Any device that relies on this will only be marginally better than any other device, whether or not there is software or a slightly more convenient measuring device. This is a statement about the inconvenience of a prick (and long term challenges) but also the medical challenges on relying on that point in time. * My sense is that going down the path of an innovation, that still has a prick, but requires a level of FDA approval is a difficult one to approach. * This is a very crowded space. There are a lot of apps, a lot of measuring devices, a lot of mixtures of app and measuring devices. It is very difficult to avoid appearing as a commodity to consumers. * While I understand there is potential to see innovation using novel approaches to analysis of data, it is not clear to me how much better the approach can be for an individual with data. * The real opportunity I might see is around measuring glucose or some related telemetry to assist in compliance that is outside the scope of a finger prick and measuring glucose directly. It seems like we should have some other data point upon which to apply machine learning. I hope this helps...any friend of JE is a friend of mine. On Nov I,

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Independent research project. Not affiliated with the U.S. Department of Justice, FBI, any government agency, or Anthropic. All analytical text on this site is AI-generated (Claude, Anthropic) and iteratively fact-checked against source documents, but may contain errors. Verify all claims against linked EFTA sources before citing.
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