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Sungjin Park

affiliation not provided to SSRN

  • affiliation not provided to SSRN

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Artificial Intelligence-Assisted Metabolomic Profiling Identifies Novel Biomarkers for Diabetic Kidney Disease Staging

Number of pages: 30 Posted: 15 Sep 2025
Inha Jung, Sungjin Park, Moongi Ji, So Young Park, Da Young Lee, Ji Hee Yu, Ji A. Seo, Man-Jeong Paik, Hyeong Kyu Park, Soon Hyo Kwon, Dae Ho Lee, Nan Hee Kim and Sneak Peek Administrator
Korea University - Division of Endocrinology and Metabolism, affiliation not provided to SSRN, Sunchon National University, Korea University - Division of Endocrinology and Metabolism, Korea University - Division of Endocrinology and Metabolism, Korea University - Division of Endocrinology and Metabolism, Korea University - Division of Endocrinology and Metabolism, Sunchon National University, Soonchunhyang University - Seoul Hospital, Soonchunhyang University - Seoul Hospital, Gachon University, Korea University - Division of Endocrinology and Metabolism and Independent
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diabetic kidney disease, Artificial Intelligence, metabolomics, adenosine-NT5E axis, multi-omics integration