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From: Steven Sinofsky Sent: Wednesday, November 1, 2017 4:33 PM To: Jeffrey E. Subject: Re: Yes no problem. but will be=tomorrow. London for PA's shindig. On No= 1, 2017, at 4:31 PM, Jeffrey E. <[email protected] <mailto:[email protected]=> wrote: s=eve can you give some guidance On Wed, Nov 1, 2017 at 12:20 PM, Masha Drokova wrote: I'm looking to invest at the company doing AI-based glucose moni=oring system for people with diabetes. We made tech evaluation, talke= to a few experts and more a question about the market and regulations. Lik=ly no, because it's complex area, but still thinking of them. </=pan> May be s=meone in your network who knows this area and can advise on this kind of te=h? Center Health Deck: <=pan>https://drive.google.com/file/d/0B5O93D3LIArEb=Bsdll4elVobOU/view chttps://drive.google.com/file/d/0B5O93D3IJArEbXBsdll4elVob0U= target=> <=ont face="Roboto-Regular"> Our memo: https://docs.google.com/document/d/1M7ZV7VEIRCTnb4Et=WFH2sq5dcCm0PM6g1AlcwrIOtM <https://d=cs.google.comiclocument/d/1M7ZV7VEIRCTnb4EtYWEH2sqSdcCm0PM6g1AlcwrIOtM> =span> Center Health&nbs=;is building an Al-based glucose monitoring system for the 1 in 1= Americans who suffer from diabetes, based on machine learning and their pe=sonalized AI, Aria. Users subscribe to their disposable test strips, a=$14B/yr US market, which are delivered monthly, as Aria learns about their d=abetes and prompts behavioral changes to lower blood sugar. The s=stem is an order of magnitude cheaper than existing technologies, premised o= leveraging data to help users see what daily elements are affecting t=eir blood sugar, and predicting dangerous highs and lows before they happen= Pros — Existing glucome=ers from big companies are very old-fashioned and outdated, those companies=make their revenue from overpriced strips — Direct com=etitors, such as iHealth and Dario have negative customer revie=s and minor — Uses FDA-approved circuits to get the approval 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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