Machine Learning-Assisted Automatically Electrochemical Addressable Cytosensing Arrays for Anticancer Drug Screening-Reference-Cited by-同舟云学术

Machine Learning-Assisted Automatically Electrochemical Addressable Cytosensing Arrays for Anticancer Drug Screening

Published:2023-12-13 Issue:51 Volume:95 Page:18907-18916
ISSN:0003-2700
Container-title:Analytical Chemistry
language:en
Short-container-title:Anal. Chem.

Author:

Zhang Jingwei¹,Li Caoling²,Wang Han¹,Yang Zhao¹,Hu Chengguo³^ORCID,Wu Kangbing¹^ORCID,Hao Junxing¹,Liu Zhihong¹^ORCID

Affiliation:

1. College of Health Science and Engineering, Key Laboratory for the Synthesis and Application of Organic Functional Molecules, Hubei University, Wuhan 430062, China

2. Equine Science Research and Doping Control Center, Wuhan Business University, Wuhan 430056, China

3. College of Chemistry and Molecular Sciences, Wuhan University, Wuhan 430072, China

Funder

National Natural Science Foundation of China

Knowledge Innovation Program of Wuhan-Shuguang Project

Publisher

American Chemical Society (ACS)

Subject

Analytical Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.analchem.3c05178

Reference45 articles.

1. In Response to Precision Medicine: Current Subcellular Targeting Strategies for Cancer Therapy

2. Cancer statistics, 2023

3. The Future of Clinical Trial Design in Oncology

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5. Single‐Cell Immunoblotting based on a Photoclick Hydrogel Enables High‐Throughput Screening and Accurate Profiling of Exogenous Gene Expression

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