Kei Zaitsu
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About
Kei Zaitsu is a Professor at Kindai University in Japan. His research focuses on machine learning algorithms for predicting plant toxins, as well as the quantification of various metabolites and psychotropic drugs using advanced mass spectrometry techniques. He has published extensively on topics including neural stem cell maintenance, mitochondrial toxicity, and maternal metabolites related to fetal health. His work combines metabolomics and bioinformatics to develop innovative analytical platforms for drug and toxin detection.
Recent Grants
Grant: Close
Neurogenesis and its pathogenesis in the neonatal brain: an integrated understanding using advanced analytical techniques
Open Date: 2020-08-31
Close Date: 2025-03-31
Grant: Close
Challenge for coral exposome studies
Open Date: 2019-06-28
Close Date: 2021-03-31
Grant: Close
新規質量分析PESI/MS/MSによる簡便・迅速な作物のメタボローム解析法の開発
Open Date: 2018-06-29
Close Date: 2021-03-31
Grant: Close
Elucidation of acute toxicity of drugs by real-time metabolome analysis and multivariate time-series analysis
Open Date: 2018-04-01
Close Date: 2021-03-31
Grant: Close
Development of the synthetic cannabinoid-dependent mouse and investigation of its formation factor
Open Date: 2015-04-01
Close Date: 2017-03-31
Articles (12)
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2025
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2025
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2022
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2022
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2022
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2022
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2021
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2021
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2020
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2020
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2020
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2020
Collaborators (4)
Konstantin Khodosevich
Københavns Universitet
Shoko Takemura
Nagoya University Graduate School of Medicine
Rasmus Rydbirk
Københavns Universitet
Masato Sawada
Associate professor
Nagoya University Graduate School of Medicine
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