Systems Biology-Derived Biomarkers to Predict Progression of Renal Function Decline in Type 2 Diabetes Mellitus.
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Establishing the presence or absence of chronic kidney disease: Uses and limitations of formulas estimating the glomerular filtration rate.The Promise of Systems Biology for Diabetic Kidney Disease.Validation of systems biology derived molecular markers of renal donor organ status associated with long term allograft function.The Role of Systems Biologic Approach in Cell Signaling and Drug Development Responses-A Mini Review.Validation of Plasma Biomarker Candidates for the Prediction of eGFR Decline in Patients With Type 2 Diabetes
P2860
Systems Biology-Derived Biomarkers to Predict Progression of Renal Function Decline in Type 2 Diabetes Mellitus.
description
2017 nî lūn-bûn
@nan
2017年の論文
@ja
2017年論文
@yue
2017年論文
@zh-hant
2017年論文
@zh-hk
2017年論文
@zh-mo
2017年論文
@zh-tw
2017年论文
@wuu
2017年论文
@zh
2017年论文
@zh-cn
name
Systems Biology-Derived Biomar ...... e in Type 2 Diabetes Mellitus.
@en
Systems Biology-Derived Biomar ...... e in Type 2 Diabetes Mellitus.
@nl
type
label
Systems Biology-Derived Biomar ...... e in Type 2 Diabetes Mellitus.
@en
Systems Biology-Derived Biomar ...... e in Type 2 Diabetes Mellitus.
@nl
prefLabel
Systems Biology-Derived Biomar ...... e in Type 2 Diabetes Mellitus.
@en
Systems Biology-Derived Biomar ...... e in Type 2 Diabetes Mellitus.
@nl
P2093
P50
P356
P1433
P1476
Systems Biology-Derived Biomar ...... e in Type 2 Diabetes Mellitus.
@en
P2093
Alexander Kainz
Andreas Heinzel
Constantin Aschauer
Dick de Zeeuw
Gert Mayer
Hiddo J L Heerspink
Judith Sunzenauer
Michelle Pena
Rainer Oberbauer
SYSKID Consortium
P356
10.2337/DC16-2202
P407
P577
2017-01-11T00:00:00Z