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Cited by 282

The DOI matches its Crossref record; 119 of the 119 references it cites were found in a registry or an index.

A systems biology approach towards understanding and treating non-neovascular age-related macular degeneration

Open access
Handa, James T., Bowes Rickman, Cathy, Dick, Andrew D., Gorin, Michael B., Miller, Joan W., Toth, Cynthia A., Ueffing, Marius, Zarbin, Marco, Farrer, Lindsay A.·2019·Nature Communications

Abstract

Age-related macular degeneration (AMD) is the most common cause of blindness among the elderly in the developed world. While treatment is effective for the neovascular or “wet” form of AMD, no therapy is successful for the non-neovascular or “dry” form. Here we discuss the current knowledge on dry AMD pathobiology and propose future research directions that would expedite the development of new treatments. In our view, these should emphasize system biology approaches that integrate omic, pharmacological, and clinical data into mathematical models that can predict disease onset and progression, identify biomarkers, establish disease causing mechanisms, and monitor response to therapy.

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Crossref · 10.1038/s41467-019-11262-1

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Metadata

Authors
Handa, J. T., Bowes Rickman, C., Dick, A. D., Gorin, M. B., Miller, J. W., Toth, C. A., Ueffing, M., Zarbin, M., & Farrer, L. A.
Venue
Nature Communications
Published
2019-07-26
Volume
10
Issue
1
Pages
3347-3347
ISSN
2041-1723 (ISSN-L)
OpenAlex
W2964556340
Cited by
282
References
119
FWCI
32.77
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: A systems biology approach towards understanding and treating non-neovascular age-related macular degeneration. https://app.cochat.ai/papers/10.1038/s41467-019-11262-1
The paper
Handa, J. T., Bowes Rickman, C., Dick, A. D., Gorin, M. B., Miller, J. W., Toth, C. A., Ueffing, M., Zarbin, M., & Farrer, L. A. (2019). A systems biology approach towards understanding and treating non-neovascular age-related macular degeneration. Nature Communications. https://doi.org/10.1038/s41467-019-11262-1

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.