Machine Learning-Assisted Pattern Recognition of Amyloid Beta Aggregates with Fluorescent Conjugated Polymers and Graphite Oxide Electrostatic Complexes-Reference-Cited by-同舟云学术

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Machine Learning-Assisted Pattern Recognition of Amyloid Beta Aggregates with Fluorescent Conjugated Polymers and Graphite Oxide Electrostatic Complexes

Published:2022-01-27 Issue:6 Volume:94 Page:2757-2763
ISSN:0003-2700
Container-title:Analytical Chemistry
language:en
Short-container-title:Anal. Chem.

Author:

Wang Hao¹,Chen Mingqi¹,Sun Yimin²,Xu Lian¹,Li Fei¹^ORCID,Han Jinsong¹^ORCID

Affiliation:

1. State Key Laboratory of Natural Medicines and National R&D Center for Chinese Herbal Medicine Processing, College of Engineering, China Pharmaceutical University, Nanjing 211109, China

2. School of Pharmacy, China Pharmaceutical University, Nanjing 211109, China

Funder

State Key Laboratory of Natural Medicines

Natural Science Foundation of Jiangsu Province

National Natural Science Foundation of China

National Innovation and Entrepreneurship Training Program for Undergraduate

Publisher

American Chemical Society (ACS)

Subject

Analytical Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.analchem.1c03623

Reference57 articles.

1. Somatic APP gene recombination in Alzheimer’s disease and normal neurons

2. Chemical sensing platforms for detecting trace-level Alzheimer's core biomarkers

3. Multimodal Theranostic Cyanine-Conjugated Gadolinium(III) Complex for In Vivo Imaging of Amyloid-β in an Alzheimer’s Disease Mouse Model

4. Current Strategies for Modulating Aβ Aggregation with Multifunctional Agents

5. Astrocytic interleukin-3 programs microglia and limits Alzheimer’s disease

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