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R L's avatar

The Lilly NVIDIA supercomputer is a massve capital deployment signal that pharma is done waiting 15 years for clinical trial readouts when you can simulate millions of molecular interactions in silico first. The irony is that they named it TuneLab when they could have leaned into the SkyNet joke harder, but I suppose regulatory optics matter when you're trying to convince the FDA that your AI designed molecules are safe for humans. The Peak Data problem you highlighted with wearables bombarding consumers is exactly why healthtech needs an orchestration layer that prioritizes signal versus noise rather than just collecting more biometric streams. That NHS one day prostate cancer diagnostic service in Leeds shows how AI acceleration can collapse patient pathways without requiring massive behavior change from clinicians, which is usually the sticking point in adoption.

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Neural Foundry's avatar

The Terminator 2 analogy for the Lilly and NVIDIA partnership is spot on, but the real kicker is that the dystopian future you joke about (SkyNet Lilly TuneLab) might actualy be less scary than our current reality of 10 year drug development timelines. The contrast between the AI assistant filtering biometric noise in the Peak Data story and the brute force simulation approach for drug discovery shows how varied the AI healthcare landscape is becoming. Your footnote about how future generations will find search engines bizarre is brilliant becuase we're already seeing that shift in how people interact with information, and healthcare data filtering feels like the next obvious battleground.

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