Development of Diagnostic Biomarkers for Detecting Diabetic Retinopathy at Early Stages Using Quantitative Proteomics
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Tear fluid biomarkers in ocular and systemic disease: potential use for predictive, preventive and personalised medicineMachine Learning and Data Mining Methods in Diabetes ResearchPlasma Clusterin and the CLU Gene rs11136000 Variant Are Associated with Mild Cognitive Impairment in Type 2 Diabetic Patients.Roles of exosomes in the normal and diseased eye.A Quantitative Proteomics Approach to Clinical Research with Non-Traditional Samples.GLP-1 Treatment Improves Diabetic Retinopathy by Alleviating Autophagy through GLP-1R-ERK1/2-HDAC6 Signaling Pathway.Multiplex Biomarker Approaches in Type 2 Diabetes Mellitus Research.Change of ranibizumab-induced human vitreous protein profile in patients with proliferative diabetic retinopathy based on proteomics analysis.Plasma Gelsolin: Indicator of Inflammation and Its Potential as a Diagnostic Tool and Therapeutic Target
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P2860
Development of Diagnostic Biomarkers for Detecting Diabetic Retinopathy at Early Stages Using Quantitative Proteomics
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2015 nî lūn-bûn
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2015年の論文
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2015年学术文章
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2015年学术文章
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2015年学术文章
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2015年学术文章
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name
Development of Diagnostic Biom ...... Using Quantitative Proteomics
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Development of Diagnostic Biom ...... Using Quantitative Proteomics
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type
label
Development of Diagnostic Biom ...... Using Quantitative Proteomics
@ast
Development of Diagnostic Biom ...... Using Quantitative Proteomics
@en
prefLabel
Development of Diagnostic Biom ...... Using Quantitative Proteomics
@ast
Development of Diagnostic Biom ...... Using Quantitative Proteomics
@en
P2093
P2860
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P1476
Development of Diagnostic Biom ...... Using Quantitative Proteomics
@en
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Hophil Min
Kyunggon Kim
Sang Jin Kim
Taesung Park
Youngsoo Kim
P2860
P304
P356
10.1155/2016/6571976
P577
2015-11-09T00:00:00Z