File:Suchi Saria for the National Science Foundation.jpg

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Suchi Saria, Professor of Machine Learning and Healthcare at Johns Hopkins University, in video from the National Science Foundation.

Summary

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Description
English: Some chronic conditions, such as the autoimmune disease scleroderma, are especially difficult to treat because patients exhibit highly variable symptoms, complications and treatment responses. The process of finding an effective treatment for an individual can be frustrating for doctors, and painful and expensive for patients. With support from the National Science Foundation, computer scientist and professor Suchi Saria, with Fredrick Wigley and an interdisciplinary team of experts at Johns Hopkins University, is leading a groundbreaking effort using Big Data to ease some of that pain for scleroderma patients.
Date
Source BIG DATA TO INDIVIDUALIZE MANAGEMENT OF CHRONIC DISEASES at 3:02, cropped
Author Provided by the National Science Foundation
This file, which was originally posted to BIG DATA TO INDIVIDUALIZE MANAGEMENT OF CHRONIC DISEASES at 3:02, cropped, was reviewed on 17 November 2019 by reviewer Leoboudv, who confirmed that it was available there under the stated license on that date.

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Public domain
This work is in the public domain in the United States because it is a work prepared by an officer or employee of the United States Government as part of that person’s official duties under the terms of Title 17, Chapter 1, Section 105 of the US Code. Note: This only applies to original works of the Federal Government and not to the work of any individual U.S. state, territory, commonwealth, county, municipality, or any other subdivision. This template also does not apply to postage stamp designs published by the United States Postal Service since 1978. (See § 313.6(C)(1) of Compendium of U.S. Copyright Office Practices). It also does not apply to certain US coins; see The US Mint Terms of Use.
This file has been identified as being free of known restrictions under copyright law, including all related and neighboring rights.

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current17:47, 12 November 2019Thumbnail for version as of 17:47, 12 November 20191,343 × 1,797 (325 KB)GRuban (talk | contribs)User created page with UploadWizard

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