Nanostructured‐Based Optical Readouts Interfaced with Machine Learning for Identification of Extracellular Vesicles-Reference-Cited by-同舟云学术

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Nanostructured‐Based Optical Readouts Interfaced with Machine Learning for Identification of Extracellular Vesicles

Published:2022-12-25 Issue:5 Volume:12 Page:2202123
ISSN:2192-2640
Container-title:Advanced Healthcare Materials
language:en
Short-container-title:Adv Healthcare Materials

Author:

del Real Mata Carolina¹^ORCID,Jeanne Olivia¹,Jalali Mahsa¹,Lu Yao¹,Mahshid Sara¹^ORCID

Affiliation:

1. McGill University Department of Bioengineering Montreal QC H3A 0E9 Canada

Funder

McGill University

Natural Sciences and Engineering Research Council of Canada

Canada Foundation for Innovation

Canadian Cancer Society Research Institute

Publisher

Wiley

Subject

Pharmaceutical Science,Biomedical Engineering,Biomaterials

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/adhm.202202123

Reference179 articles.

1. Review: Isolation and Detection of Tumor-Derived Extracellular Vesicles

2. Emerging Nanotechnologies for Liquid Biopsy: The Detection of Circulating Tumor Cells and Extracellular Vesicles

3. New Technologies for Analysis of Extracellular Vesicles

4. Correlation between Cancerous Exosomes and Protein Markers Based on Surface-Enhanced Raman Spectroscopy (SERS) and Principal Component Analysis (PCA)

5. Stem Cell-Derived Exosomes as Nanotherapeutics for Autoimmune and Neurodegenerative Disorders

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