A method for optical imaging and monitoring of the excretion of fluorescent nanocomposites from the body using artificial neural networks-Reference-Cited by-同舟云学术

A method for optical imaging and monitoring of the excretion of fluorescent nanocomposites from the body using artificial neural networks

Published:2018-06 Issue:4 Volume:14 Page:1371-1380
ISSN:1549-9634
Container-title:Nanomedicine: Nanotechnology, Biology and Medicine
language:en
Short-container-title:Nanomedicine: Nanotechnology, Biology and Medicine

Author:

Sarmanova Olga E.,Burikov Sergey A.,Dolenko Sergey A.,Isaev Igor V.,Laptinskiy Kirill A.,Prabhakar Neeraj,Karaman Didem Şen,Rosenholm Jessica M.,Shenderova Olga A.,Dolenko Tatiana A.

Funder

Russian Science Foundation

Academy of Finland

Publisher

Elsevier BV

Subject

Pharmaceutical Science,General Materials Science,Biomedical Engineering,Molecular Medicine,Medicine (miscellaneous),Bioengineering

Reference57 articles.

1. Cancer incidence and mortality worldwide: sources, methods and major patterns in GLOBOCAN 2012;Ferlay;International Journal of Cancer,2015

2. Global cancer incidence and mortality rates and trends—an update;Torre;Cancer Epidemiol Prevent Biomark,2016

3. Tackling breast cancer chemoresistance with nano-formulated siRNA;Jones;Gene Ther,2016

4. Tumor-targeted nanomedicines for cancer theranostics;Arranja;Pharmacol Res,2017

5. Theranostic nanomedicine;Lammers;Acc Chem Res,2011

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