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Other literature type . 2024
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Research . 2024
License: CC BY
Data sources: Datacite
ZENODO
Research . 2024
License: CC BY
Data sources: Datacite
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Accelerating the development of low-cost diagnostics through Responsible AI and open science based innovations

Mboalab's contribution to the local manufacturing of Point of Care Testing (POCT)
Authors: Mboa Nkoudou, Thomas Herve; Fadanka Wapouo, Stephane; Elisée, Jafsia;

Accelerating the development of low-cost diagnostics through Responsible AI and open science based innovations

Abstract

The Mboalab is an open and collaborative space created in December 2017 in Yaoundé, Cameroon. The aim of our collaborative space is to catalyze sustainable local development through open science based innovation. By choosing education and R&D in health as the priority axes, Mboalab has notably contributed to improving healthcare. Indeed, the Mboalab research and production laboratories tackle prevalent diseases such as malaria, cholera, and typhoid fever by developing low-cost diagnostic methods and cost effectiveness reagents, while training local researchers and students on cutting-edge technologies. At the Mboalab, the open science-based innovation is rooted in three domains : Synthetic Biology, Artificial Intelligence and digital fabrication. 

Keywords

Diagnostic technologies, Artificial intelligence, Synthetic biology

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green