Machine learning-based multi-omics models for diagnostic classification and risk stratification in diabetic kidney disease

Xian Shao; Suhua Gao; Pufei Bai; Qian Yang; Yao Lin; Mingzhen Pang; Weixi Wu; Lihua Wang; Ying Li; Saijun Zhou; Hongyan Liu; Pei Yu

doi:10.1002/ctm2.70133

Machine learning-based multi-omics models for diagnostic classification and risk stratification in diabetic kidney disease

Clin Transl Med. 2025 Jan;15(1):e70133. doi: 10.1002/ctm2.70133.

Authors

Xian Shao^{1

2

3}, Suhua Gao^{1

2}, Pufei Bai^{1

2}, Qian Yang^{1

2}, Yao Lin^{1

2}, Mingzhen Pang³, Weixi Wu^{1

2}, Lihua Wang⁴, Ying Li⁴, Saijun Zhou^{1

2}, Hongyan Liu^{1

2}, Pei Yu^{1

2

4}

Affiliations

¹ NHC Key Laboratory of Hormones and Development, Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China.
² Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University, Tianjin, China.
³ Division of Nephrology, National Clinical Research Center for Kidney Disease, State Key Laboratory of Organ Failure Research, Nanfang Hospital, Southern Medical University, Guangzhou, China.
⁴ Department of Nephrology & Blood Purification Center, The Second Hospital of Tianjin Medical University, Tianjin, China.

PMID: 39776304
DOI: 10.1002/ctm2.70133

No abstract available

Grants and funding