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Unknown
(220)
Proteomics
(2)
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Homo sapiens
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pride
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Mass Spectrometry
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2020
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2023
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Lab affiliation
Center for Theragnosis, Korea Institute of Science and Technology, Seoul, Korea
(1)
Department of Biomedical Science and Technology, Kyung Hee Medical Science Research Institute, Kyung Hee University, Seoul, South Korea
(1)
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Generation of novel oncolytic vaccinia virus with improved intravenous efficacy through protection against complement-mediated lysis and evasion of neutralization by vaccinia virus-specific antibodies.
Not available
S-EPMC9887704
|
biostudies-literature
Cite
Intratympanic administration of dexamethasone attenuates radiation induced damage to middle ear mucosa.
Not available
S-EPMC11760350
|
biostudies-literature
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Comparison of clinical characteristics and outcomes in candidaemia patients with and without COVID-19: a multicentre retrospective study.
Not available
S-EPMC11682618
|
biostudies-literature
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Efficient recovery and recycling/upcycling of precious metals using hydrazide-functionalized star-shaped polymers.
Not available
S-EPMC11079046
|
biostudies-literature
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Structural-disorder-driven critical quantum fluctuation and localization in two-dimensional semiconductors.
Not available
S-EPMC10121577
|
biostudies-literature
Cite
Whole genome sequence of lactic acid bacterium Pediococcus acidilactici strain S1.
Not available
S-EPMC5498416
|
biostudies-literature
Cite
Clinical Utility of Deep Learning Assistance for Detecting Various Abnormal Findings in Color Retinal Fundus Images: A Reader Study.
Not available
S-EPMC11512572
|
biostudies-literature
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Clinical Effects of Activated Charcoal Unavailability on Treatment Outcomes for Oral Drug Poisoned Patients.
Not available
S-EPMC6192078
|
biostudies-literature
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Complete genome analysis of Serratia marcescens RSC-14: A plant growth-promoting bacterium that alleviates cadmium stress in host plants.
Not available
S-EPMC5302809
|
biostudies-literature
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An interpretable and interactive deep learning algorithm for a clinically applicable retinal fundus diagnosis system by modelling finding-disease relationship.
Not available
S-EPMC10097752
|
biostudies-literature
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