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I wonder if it's possible to design a personal device that can track most of the 100+ biomarkers named in the front page of this website. I guess that do do so it must analyze more than the blood (through LEDs reflections), for example saliva or feces.

After all my watch tracks already 6/7 of them, why not 100?



We've done a little research in this area, attempting to approximate blood-based biomarkers on wearable data. You can get some of them: https://www.empirical.health/blog/wearable-foundation-model-...

A YC company, Athelas, started by developing an at-home blood test analyzer (they've since pivoted).


Thanks for the answer.

Long time ago I used a fetal Doppler to detect heart failure in adults. It was not based on LLMs (2016) but on a HMM to learn the hidden states: The heart beats.

It was tested with the Physionet database. It performed quite well, but I didn't invent the algorithm; it came from a Physionet competition.

It could run on low power computers.

https://github.com/JPLeRouzic/Hjerte




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