Work

Leveraging crowdsourcing to accelerate global health solutions

Year: 2019

Type: article

Source: Nature Biotechnology

DOI: 10.1038/s41587-019-0180-5

Institutions: University of Notre Dame, Abdelmalek Essaâdi University, Icahn School of Medicine at Mount Sinai, National Institutes of Health, IBM Research - Africa, Grand Valley State University, Mahidol University, Shoklo Malaria Research Unit, Mahidol Oxford Tropical Medicine Research Unit, Texas Biomedical Research Institute, Sage Bionetworks, University of Cape Town, Institut Pasteur de Tunis, Gates Foundation, IBM (United States), IBM Research - Thomas J. Watson Research Center

Language: English

Topic: Mobile Crowdsensing and Crowdsourcing

Subfield: Computer Science Applications

Field: Computer Science

Domain: Physical Sciences

SDGs: Good health and well-being, Partnerships for the goals

Open Access status: closed

Funders: U.S. Department of Health and Human Services, Bill and Melinda Gates Foundation, National Institutes of Health, National Human Genome Research Institute, National Institute of Allergy and Infectious Diseases

Awards: H3ABioNet: a sustainable African Bioinformatics Network for H3Africa, G699422232, G7724356297, Transcript networks and crowdsourcing to predict drug combinations in malaria par, Mapping Drug Resistance Genes in Plasmodium falciparum

OpenAlex ID: W2963657382

FWCI: 8.944

Cites: 7

Cited by: 47

Related to: 10