{"database":"iProX","file_versions":[],"scores":null,"additional":{"omics_type":["Proteomics"],"submitter":["Ming Dong"],"species":["Homo Sapiens"],"full_dataset_link":["http://www.iprox.org/page/project.html?id=IPX0017982000"],"submitter_email":["dong_ming@gzlab.ac.cn"],"submitter_affiliation":["Guangzhou National Laboratory"],"sample_protocol":[""],"repository":["iProX"],"data_protocol":[""],"additional_accession":[]},"is_claimable":false,"name":"An Sequential Workflow for Small Extracellular Vesicle Biomarkers Discovery and Validation: Coupling Machine Learning-Based Mining with High-Efficiency Microfluidic Isolation","description":"By coupling machine learning mining with microfluidic isolation, this stepwise workflow provides a robust, standardized framework for the discovery and rapid validation of exosomal biomarkers. This approach offers a scalable solution for cancer diagnostics and supports the development of precision diagnostic tools","dates":{"publication":"Mon Jun 29 00:00:00 BST 2026"},"accession":"PXD080311","cross_references":{"TAXONOMY":["9606"]}}