Monitoring Retinoblastoma by Machine Learning of Aqueous Humor Metabolic Fingerprinting-Reference-Cited by-同舟云学术

Monitoring Retinoblastoma by Machine Learning of Aqueous Humor Metabolic Fingerprinting

Published:2021-12-02 Issue:1 Volume:6 Page:2101220
ISSN:2366-9608
Container-title:Small Methods
language:en
Short-container-title:Small Methods

Author:

Liu Wanshan¹²,Luo Yingxiu³⁴,Dai Jingjing³⁴,Yang Ludi³⁴,Huang Lin¹²,Wang Ruimin¹²,Chen Wei¹²,Huang Yida¹²,Sun Shiyu¹²,Cao Jing¹²,Wu Jiao¹²,Han Minglei³⁴,Fan Jiayan³⁴,He Mengjia³⁴,Qian Kun¹²^ORCID,Fan Xianqun³⁴,Jia Renbing³⁴

Affiliation:

1. State Key Laboratory for Oncogenes and Related Genes School of Biomedical Engineering and Institute of Medical Robotics Shanghai Jiao Tong University Shanghai 200030 P. R. China

2. Division of Cardiology Renji Hospital School of Medicine Shanghai Jiao Tong University Shanghai 200127 P. R. China

3. Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology Shanghai 200011 P. R. China

4. Department of Ophthalmology Ninth People's Hospital Shanghai Jiao Tong University School of Medicine Shanghai 200011 P. R. China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

General Materials Science,General Chemistry

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/smtd.202101220

Reference60 articles.

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3. Retinoblastoma

4. Diagnostic Performance of Magnetic Resonance Imaging and Computed Tomography for Advanced Retinoblastoma

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