Microsoft-backed data alliance awards $1.2M for 3 cancer treatment innovation projects

The companies will receive the $1.2 million in financing and credits for Microsofts Azure cloud computing services in support of their projects, which intend to deal with a variety of cancer concerns by establishing new tech options and finest practices for information standardization..

The Cascadia Data Alliance, a health research study data sharing effort backed by Microsoft, recently approved $1.2 million for brand-new cancer treatment development tasks at 5 member companies, according to a Nov. 5 news release..

Jackie Drees –
Friday, November 6th, 2020
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Here are the three projects:.

The 3 pilot awards will be dispersed among the following CDA members: Fred Hutchinson Cancer Research Center in Seattle; the University of Washington eScience Institute in Seattle; BC Cancer in Vancouver; University of British Columbia Data Science Institute in Vancouver; and the Knight Cancer Institute at Oregon Health & & Science University in Portland..

1. Fred Hutchinson, BC Cancer and University of Washington scientists will collaborate on the first task, which will involve utilizing new genomic approaches to determine how growth cells hereditary profiles alter throughout treatment and how the modifications impact clients results..

2. The second project will center on gut microbiome health, with Fred Hutchinson, BC Cancer and OHSU scientists working together to establish genomic innovations, data analysis tools and cloud computing to recognize hereditary finger prints of gut germs and match them to outcomes of cancer clients treatment..

3. A team of Fred Hutchinson, BC Cancer, OHSU and UBC scientists will head up the third task, which will include producing an international network for synthetic intelligence-based, privacy-protected quality guarantee. The group will focus on ovarian cancer as the evidence of concept for the system..

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A team of Fred Hutchinson, BC Cancer, OHSU and UBC researchers will head up the third task, which will involve developing a worldwide network for synthetic intelligence-based, privacy-protected quality assurance. © Copyright ASC COMMUNICATIONS 2020. Interested in LINKING to or REPRINTING this content?