Note that integration of Machine Learning is specifically mentioned. Once you have the right data readily accessible, many kinds of analytics can be tested and applied.
NIH Partners With Google Cloud to Speed Up Medical Breakthroughs
NextGov.com
By Jack Corrigan in NextGov
A new U.S. National Institutes of Health (NIH) program aims to help NIH researchers accelerate biomedical advances providing access to more commercial cloud computing technologies. NIH's Science and Technology Research Infrastructure for Discovery, Experimentation, and Sustainability Initiative (STRIDES) will give scientists access to analytics tools to speed up biomedical data-crunching. STRIDES' initial concentration will be on making "high-value" datasets accessible via the cloud and adopting data-centric machine learning and artificial intelligence applications. Google Cloud was chosen as NIH's first STRIDES partner so it can offer its cloud storage, computing, and machine learning tools to NIH teams and about 2,500 federally-funded institutions. Google Cloud also will collaborate with the NIH Data Commons program to devise cloud-based biomedical data-sharing solutions. ... "
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