Daisuke Saigusa

Identification of predictive biomarkers for endometrial cancer diagnosis and treatment response monitoring using plasma metabolome profiling

S. Koshiba, I. Motoike, Eiji Hishinuma, 2023, Cancer & Metabolism.

jMorp: Japanese Multi-Omics Reference Panel update report 2023.

S. Koshiba, R. Shimizu, F. Katsuoka, 2023, Nucleic acids research.

Machine learning approaches to predict gestational age in normal and complicated pregnancies via urinary metabolomics analysis

R. Yamashita, M. Nagasaki, S. Hiyama, 2021, Scientific Reports.