A serum exosomal microRNA-based artificial intelligence diagnostic model for highly accurate detection of hepatocellular carcinoma

Jin-Seong Hwang; Sugi Lee; Gyeonghwa Kim; Hoibin Jeong; Kiyoon Kwon; Eunsun Jung; Yuna Roh; Taesang Son; Hana Lee; Moo-Seung Lee; Kyoung-Jin Oh; Hye Won Lee; Yu Rim Lee; Soo Young Park; Won Young Tak; Hyun Seung Ban; Hyun-Soo Cho; Mi-Young Son; Jang-Seong Kim; Keun Hur; Dae-Soo Kim; Tae-Su Han

doi:10.1002/cac2.70043

Cancer Communications ›› 2025, Vol. 45 ›› Issue (9) : 1188 -1193. DOI: 10.1002/cac2.70043

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A serum exosomal microRNA-based artificial intelligence diagnostic model for highly accurate detection of hepatocellular carcinoma

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¹. Korea Research Institute of Bioscience and Biotechnology (KRIBB), Daejeon, Republic of Korea

². KRIBB School of Bioscience, Korea University of Science and Technology (UST), Daejeon, Republic of Korea

³. Department of Biochemistry and Cell Biology, School of Medicine, Kyungpook National University, Daegu, Republic of Korea

⁴. Metropolitan Seoul Center, Korea Basic Science Institute, Seoul, Republic of Korea

⁵. Department of Pathology, Keimyung University School of Medicine, Daegu, Republic of Korea

⁶. Department of Internal Medicine, School of Medicine, Kyungpook National University Hospital, Daegu, Republic of Korea

⁷. School of Medicine, Sungkyunkwan University, Suwon, Republic of Korea

⁸. Department of Biomedical Convergence Science and Technology, School of Convergence, Kyungpook National University, Daegu, Republic of Korea

jangskim@kribb.re.kr

KeunHur@knu.ac.kr

kds2465@kribb.re.kr

tshan@kribb.re.kr

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Jin-Seong Hwang, Sugi Lee, Gyeonghwa Kim, Hoibin Jeong, Kiyoon Kwon, Eunsun Jung, Yuna Roh, Taesang Son, Hana Lee, Moo-Seung Lee, Kyoung-Jin Oh, Hye Won Lee, Yu Rim Lee, Soo Young Park, Won Young Tak, Hyun Seung Ban, Hyun-Soo Cho, Mi-Young Son, Jang-Seong Kim, Keun Hur, Dae-Soo Kim, Tae-Su Han. A serum exosomal microRNA-based artificial intelligence diagnostic model for highly accurate detection of hepatocellular carcinoma. Cancer Communications, 2025, 45(9): 1188-1193 DOI:10.1002/cac2.70043

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