<p>Accelerating AI for global health through crowdsourcing</p>

Geoffrey Henry Siwo; Malaria DREAM Challenge Consortium; Carol Sibey; Michael T Ferdig; Malaria DREAM Challenge Consortium

doi:10.21955/gatesopenres.1116681.1

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Siwo GH, Malaria DREAM Challenge Consortium, Sibey C et al. Accelerating AI for global health through crowdsourcing [version 1; not peer reviewed]. Gates Open Res 2020, 4:148 (poster) (https://doi.org/10.21955/gatesopenres.1116681.1)

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Accelerating AI for global health through crowdsourcing

Geoffrey Henry Siwo¹, Malaria DREAM Challenge Consortium, Carol Sibey, Michael T Ferdig, Malaria DREAM Challenge Consortium

Published 26 Sep 2020 (https://doi.org/10.21955/gatesopenres.1116681.1)

Author Affiliations

¹ Center for Research Computing & Eck Institute for Global Health, University of Notre Dame, USA

Copyright © 2020 Siwo GH et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Published 26 Sep 2020

Accelerating AI for global health through crowdsourcing
[version 1; not peer reviewed]

Geoffrey Henry Siwo¹, Malaria DREAM Challenge Consortium, Carol Sibey, Michael T Ferdig, Malaria DREAM Challenge Consortium

Author Affiliations

¹ Center for Research Computing & Eck Institute for Global Health, University of Notre Dame, USA

Abstract

Gates Foundation grant number

INV-GC2020

Competing Interests

No competing interests were disclosed

Keywords

Artificial Intelligence, AI, Machine Learning, Malaria, Crowdsourcing, Drug Resistance, Artemisinin, DREAM Challenges, Data Sceince

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Accelerating AI for global health through crowdsourcing

Accelerating AI for global health through crowdsourcing
[version 1; not peer reviewed]

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