AI-assisted metabolomic profiling identifies candidate metabolites associated with diabetic kidney disease staging in a Korean cohort
- DOI
- 10.1016/j.isci.2026.117506
- Published
- 2026-10
- Container
- iScience
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.isci.2026.117506,
title = {AI-assisted metabolomic profiling identifies candidate metabolites associated with diabetic kidney disease staging in a Korean cohort},
author = {Inha Jung and Sungjin Park and Moongi Ji and So Young Park and Da Young Lee and Ji Hee Yu and Ji A. Seo and Man-Jeong Paik and Hyeong Kyu Park and Soon Hyo Kwon and Dae Ho Lee and Nan Hee Kim},
year = {2026},
journal = {iScience},
doi = {10.1016/j.isci.2026.117506},
url = {https://doi.org/10.1016/j.isci.2026.117506}
}RIS
TY - JOUR TI - AI-assisted metabolomic profiling identifies candidate metabolites associated with diabetic kidney disease staging in a Korean cohort AU - Inha Jung AU - Sungjin Park AU - Moongi Ji AU - So Young Park AU - Da Young Lee AU - Ji Hee Yu AU - Ji A. Seo AU - Man-Jeong Paik AU - Hyeong Kyu Park AU - Soon Hyo Kwon AU - Dae Ho Lee AU - Nan Hee Kim PY - 2026 JO - iScience DO - 10.1016/j.isci.2026.117506 UR - https://doi.org/10.1016/j.isci.2026.117506 ER -
APA
Jung, I., Park, S., Ji, M., Park, S. Y., Lee, D. Y., Yu, J. H., Seo, J. A., Paik, M., Park, H. K., Kwon, S. H., Lee, D. H., & Kim, N. H. (2026). AI-assisted metabolomic profiling identifies candidate metabolites associated with diabetic kidney disease staging in a Korean cohort. iScience. https://doi.org/10.1016/j.isci.2026.117506
Source records
- crossref · retrieved 2026-09-25T20:12:18.266Z