Development of novel medical strategies in pre-disease by Kampo science and the mathematical science of complex systems

Koizumi, Keiichi (Principal Investigator)
Oku, Makito (Co-Investigator(Kenkyū-buntansha))

3 Article

3 results

Article
Dynamical network biomarkers: Theory and applications
Aihara, K., Liu, R., Koizumi, K., Liu, X. & Chen, L., 2022/01/15, In: Gene. 808, 145997.
Research output: Contribution to journal › Article › peer-review

Open Access
48 Scopus citations
Identifying pre-disease signals before metabolic syndrome in mice by dynamical network biomarkers
Koizumi, K., Oku, M., Hayashi, S., Inujima, A., Shibahara, N., Chen, L., Igarashi, Y., Tobe, K., Saito, S., Kadowaki, M. & Aihara, K., 2019/12/01, In: Scientific Reports. 9, 1, 8767.
Research output: Contribution to journal › Article › peer-review

Open Access
46 Scopus citations
Suppression of Dynamical Network Biomarker Signals at the Predisease State (Mibyou) before Metabolic Syndrome in Mice by a Traditional Japanese Medicine (Kampo Formula) Bofutsushosan
Koizumi, K., Oku, M., Hayashi, S., Inujima, A., Shibahara, N., Chen, L., Igarashi, Y., Tobe, K., Saito, S., Kadowaki, M. & Aihara, K., 2020, In: Evidence-based Complementary and Alternative Medicine. 2020, 9129134.
Research output: Contribution to journal › Article › peer-review

Open Access
17 Scopus citations