~/talk

How GCP is Powering Next Generation Biomedical Research

Talkat Google Cloud Next '18 · 2018-07-24..07-26· [machine-learning]
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slides:none on file

Google Cloud hosts NIH datasets under the NIH Strides initiative, enabling large-scale analytics: the All of Us: 1 million participants program supplies genomic, survey and biospecimen data; TCGA uploads moved ~2 PB to the cloud for analysis. Built tools include the Beacon Network real-time mutation search. Reported outcomes: some users see ~10x cost reductions and 100x larger workable datasets. Remaining bottlenecks are interpretation cost and sequencing price; cloud adoption increases security hygiene and hybrid models for sensitive data.

AI-written summary · about

  1. 0:00Introduction and welcome
  2. 1:04NIH STRIDES partnership announcement
  3. 2:27Panelist introductions and company overviews
  4. 9:52Obstacles to precision medicine
  5. 19:00Countrywide population genomics projects
  6. 23:44Security and compliance in biomedical data
  7. 28:21Evolving attitudes toward cloud computing
  8. 30:47Q&A and closing remarks
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