Ten things we have to do to achieve precision medicine - via
@zakkohane https://science.sciencemag.org/content/349/6243/37 … #precisionmedicine #psb20
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The biggest challenge will be Goodhart’s law: When a measure becomes a target it ceases to be a useful measure. Healthcare data sets are used for performance targets, reimbursement, quality assessments, ... which inevitably skew and distort the data
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Now you’re just trying to depress the medical students by unveiling the Matrix way too early.
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Is the problem accuracy? Seems to me more like the difficulty is finding clinical actionability in genomic data. Agree or disagree?
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Actionability is a bit part; but even if you find a perturbation that is clinically addressable, this doesn't mean that one change will be sufficient to induce the desired outcome, or that it will be safe, etc. Need to do a lot more work after you find a difference.
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It's unfortunate that genomics XPRIZE was withdrawn when its goals are still not achievable today. It will take your voice and others to recognize that genomes (and other omic data) are more than just noisy BAM/CRAM files. Somebody has to admit there is a problem. :)
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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