Computational frameworks for enhanced extracellular vesicle biomarker discovery.

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Bibliographic Details
Title: Computational frameworks for enhanced extracellular vesicle biomarker discovery.
Authors: Kim J; Department of Urology, Cedars-Sinai Medical Center, Los Angeles, CA, USA.; Department of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA., Yang JD; Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA.; Karsh Division of Gastroenterology and Hepatology, Cedars-Sinai Medical Center, Los Angeles, CA, USA.; Comprehensive Transplant Center, Cedars-Sinai Medical Center, Los Angeles, CA, USA., Agopian VG; Department of Surgery, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.; Jonsson Comprehensive Cancer Center, University of California, Los Angeles, Los Angeles, CA, USA., Zhu Y; Jonsson Comprehensive Cancer Center, University of California, Los Angeles, Los Angeles, CA, USA.; Department of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.; Department of Molecular and Medical Pharmacology, California Nanosystems Institute, Crump Institute for Molecular Imaging, University of California, Los Angeles, Los Angeles, CA, USA., Tseng HR; Jonsson Comprehensive Cancer Center, University of California, Los Angeles, Los Angeles, CA, USA.; Department of Molecular and Medical Pharmacology, California Nanosystems Institute, Crump Institute for Molecular Imaging, University of California, Los Angeles, Los Angeles, CA, USA., You S; Department of Urology, Cedars-Sinai Medical Center, Los Angeles, CA, USA. Sungyong.You@cshs.org.; Department of Computational Biomedicine, Cedars-Sinai Medical Center, Los Angeles, CA, USA. Sungyong.You@cshs.org.; Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA. Sungyong.You@cshs.org.
Source: Experimental & molecular medicine [Exp Mol Med] 2026 Feb; Vol. 58 (1), pp. 73-81. Date of Electronic Publication: 2026 Jan 14.
Publication Type: Journal Article; Review
Journal Info: Publisher: Nature Publishing Group Country of Publication: United States NLM ID: 9607880 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2092-6413 (Electronic) Linking ISSN: 12263613 NLM ISO Abbreviation: Exp Mol Med Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2092-6413
DOI:10.1038/s12276-025-01622-x