From: jeffrey E. <[email protected]> Sent: Thursday, November 2, 2017 10:26 PM To: Steven Sinofsky Subject: Re: thx On Thu, Nov 2, 2017 at 6:24 PM, Steven Sinofsky wrote: Greetings Masha, I apolo=ize for the delay. I was at some events in in UK where I did not hav= connectivity. I have worked on a related portfol=o company so I will have to be a bit abstract on the specifics of this opp=rtunity. So please excuse these brief thoughts. Also, the only infor=ation I had was what was provided in your mail which was limited relative =o any detailed analysis. * In general the challen=e with glucose measurement is the finger prick. Any device that relies on =his will only be marginally better than any other device, whether or not t=ere is software or a slightly more convenient measuring device. This is a =tatement about the inconvenience of a prick (and long term challenges) but=also the medical challenges on relying on that point in time. * =y sense is that going down the path of an innovation, that still has a pri=k, 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 m=asuring devices, a lot of mixtures of app and measuring devices. It is ver= difficult to avoid appearing as a commodity to consumers. * Whi=e 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 ca= be for an individual with data. * The real opportunity I might =ee is around measuring glucose or some related telemetry to assist in comp=iance that is outside the scope of a finger prick and measuring glucose di=ectly. It seems like we should have some other data point upon which to ap=ly machine learning. I hope this helps...any frie=d of JE is a friend of mine. On Nov 1, 2017, at 4:43 PM, Mas=a Drokova wrote: https://drive.google.com/file/d/065O93D3IJArEbXBsdll4eIV=b0U/view Our memo: https://docs.go