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WPRIM Management System>
DCMS
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Chinese Journal of Laboratory Medicine
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2022
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45
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3
Volume:
45
Issue:
3
1. Application and development of molecular diagnostic techniques for detection infectious diseases
Page:207—213
2. Application of digital PCR technology in the precise molecular diagnosis: opportunities and challenges
Page:214—219
3. Potential diagnostic and therapeutic targets and anti-tumor mechanisms of Neddylation pathway in digestive system tumors
Page:220—225
4. Diagnosing lung cancer through metabolic fingerprint based on machine learning
Page:226—233
5. EGFR mutation, expression of PD-L1/Ki-67 and their correlation with clinical features in elderly NSCLC patients
Page:234—239
6. Construction and validation of lncRNA prognostic model for bladder cancer
Page:240—245
7. Expression and diagnostic value of plasma exosomal hsa_circ_0064910 in gastric cancer
Page:246—251
8. Clinical and molecular characteristics of a family with familial hypercholesterolemia with LDLRAP1 and ABCG8 gene abnormality
Page:252—259
9. Reason of postprandial low-density lipoprotein cholesterol reduction measured by enzymatic assays: based on nuclear magnetic resonance method
Page:260—267
10. Performance evaluation of automated magnetic beads extraction method for the measurement of catecholamine metabolites analyzed by liquid chromatography tandem mass spectrometry
Page:268—274
11. Screening and diagnostic efficacy evaluation of metabolomics biomarkers in patients with active tuberculosis
Page:275—281
12. Establish a diagnosis differential model for IgA nephropathy and non-IgA nephropathy by machine learning
Page:282—288
13. Research on the follow-up value of steroid hormones for 21-hydroxylase deficiency
Page:289—295
14. Research progress of nanopore sequencing in the clinic
Page:296—299
15. Application of proteomics technology in diagnosis and pathogenesis of genetic metabolic diseases
Page:300—304
16. Application progress of metabolomic analysis based on nuclear magnetic resonance spectroscopy in tumor diagnosis and treatment
Page:305—309
17. Application of artificial neural network in evaluation of IVF embryo
Page:310—314