DBTB INT Atul Butte r
summary
UCSF builds an Institute that treats hospital records plus genomic reads as precision medicine inputs, arguing these are some of the most expensive but mostly unused bytes in healthcare. The demo uses a cheap gene chip that outputs a genome-wide master spreadsheet, showing actionable expression patterns for cancer and diabetes. The concrete bottleneck is people: there are not enough data scientists, so the institute runs training programs to produce clinicians fluent in analytics and deploy cloud-backed pipelines.
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