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Sehyun Shin

Korea University

SCHOLARLY PAPERS

3

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177

TOTAL CITATIONS

0

Scholarly Papers (3)

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1.

Rapid and Simple Microfluidic-Thromboelastography (Μ-Teg) to Assess Whole Blood Coagulation and Fibrinolysis

Downloads 72 (860,052)

Rapid and Simple Microfluidic-Thromboelastography (Μ-Teg) to Assess Whole Blood Coagulation and Fibrinolysis

Number of pages: 18 Posted: 30 Aug 2022
Sehyun Shin, Jigang Wang and Cheol-Ung Choi
Korea University, Korea University and Korea University
Downloads 39 (1,224,220)

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coagulation, fibrinolysis, thromboelastography, microfluidic, diagnostics

Rapid and Simple Microfluidic-Thromboelastography (Μ-Teg) to Assess Whole Blood Coagulation and Fibrinolysis

Number of pages: 20 Posted: 29 Jan 2023
Sehyun Shin, Jigang Wang and Cheol Ung Choi
Korea University, Korea University and Korea University
Downloads 33 (1,311,254)

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coagulation, fibrinolysis, thromboelastography, Microfluidic, diagnostics

2.

Real-time fungi monitoring system using an aerosol-to-hydrosol sampler and peptide-modified biosensors

Number of pages: 31 Posted: 15 Oct 2025
Do Hoon Lee, Hyelim Shin, Yeongkwang Cho, Kyungman Kim, Gunhoo Woo, Chengmin Zhang, Ji Hoon Park, Dain Kwak, Jun Woo Cho, Woo-Jae Chung, Sehyun Shin, Il-Suk Kang, Yeon-Wha Oh, Jong-Kwon Lee, Kye-Seung Chang, Seong Hwan Kim, Taesung Kim and Byung Yang Lee
Korea University, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Korea University, Korea University, Korea University, affiliation not provided to SSRN, affiliation not provided to SSRN, Korea University, affiliation not provided to SSRN, affiliation not provided to SSRN, Cheongju University, Korea Conformity Laboratories, affiliation not provided to SSRN, Sungkyunkwan University and Korea University
Downloads 60 (961,006)

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bioaerosol, field-effect transistor, fungi, real-time monitoring, silicon nanowire, peptide-based receptor

3.

Machine Learning-Driven Combinatorial Analysis of Extracellular Vesicle miRNA Biomarkers for Breast Cancer Diagnosis Using miRQuick Platform

Number of pages: 37 Posted: 31 Dec 2025
Soyoung Jeon, Hanshin D. Shin, Kang Min Lee, Sehyun Shin and See PDF
Korea University, Seoul National University, Korea University, Korea University and Please see PDF for full list of authors & affiliations
Downloads 45 (1,121,190)

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EV, miRNA, biomarker, breast cancer, machine-learning