Artificial intelligence applied to the production of high-added-value dinoflagellates toxins - Archive ouverte HAL Access content directly
Journal Articles AI & Society: Knowledge, Culture and Communication Year : 2020

Artificial intelligence applied to the production of high-added-value dinoflagellates toxins

Abstract

Trade in high value-added toxins for therapeutic and biological use is expanding. These toxins are generally derived from microalgae belonging to the dinoflagellate family. Due to the difficulties to grow these sensitive planktonic species and to the complexity of methods used to synthesize these molecules, which are generally complex chemical structures, biotoxin manufacturers called on artificial intelligence technologies. Through the development of specific learning neural networks applied to each phases of biotoxin production: photo-bioreactors operating at optimal yield;-new chemical synthesis research processes;-toxin biosynthetic research pathways offering shortcut possibilities, manufacturing processes have been greatly improved.
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Dates and versions

hal-03142946 , version 1 (16-02-2021)

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Jean-Louis Kraus. Artificial intelligence applied to the production of high-added-value dinoflagellates toxins. AI & Society: Knowledge, Culture and Communication, 2020, 35 (4), pp.851-855. ⟨10.1007/s00146-020-00959-3⟩. ⟨hal-03142946⟩
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