5 Comments

Just a note of thanks for a well-written, and well-thought-out piece. Plenty of failures and plenty of notable new entrants to me signals a healthy future, if one or more of these can crack the code and get lucky (i.e. the right technology with the right niche at the right time = luck).

In the late 2010's I worked for a startup whose founder also had an ML/Big Data tool to dig through California's state healthcare system (Kaiser Permanente's) EHR to identify anomalies. It found quantifiable savings - yet strangely enough not enough 'economic value' to see that business expand the way I thought it would (from a bystander's point of view).

Lastly, at last year's AACR I learned in an AI plenary that Europe has already approved an AI system that can determine MSI status from H&E stains, which I thought was remarkable, to some 60-70% accuracy. (Sorry no more details on that, I'm just an observer...) Keep up the nice work!

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I know a very well-positioned founder working on launching something quite exciting in this space, if anyone reading this is curious for an intro

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Sure, what’s that?

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If you DM me your email, I can connect you

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The Paige.AI story is also interesting due to some high profile controversies with their relationship to MSKCC and some recent cofounder exits.

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