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ALZHEIMER’S DISEASE

A needle for Alzheimer’s in a haystack of claims data

Nature Aging volume 1, pages 1083–1085 (2021)Cite this article

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An Author Correction to this article was published on 11 January 2022

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In the era of big data, looking for insights in large datasets has become the norm — and health data are no exception. Combining systems-biology-driven, endophenotype-based analysis of drug targets with large-scale medical claims data points to sildenafil as a potential treatment opportunity for Alzheimer’s disease.

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Fig. 1: Endophenotype-based drug prioritization and population-based validation for drug repurposing in Alzheimer’s disease.

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Authors and Affiliations

  1. Research Programme on Biomedical Informatics, Hospital del Mar Medical Research Institute (IMIM), Pompeu Fabra University (UPF), Barcelona, Spain

    Emre Guney

  2. Discovery and Data Science (DDS) Unit, STALICLA R&D SL, Barcelona, Spain

    Emre Guney

  3. Accenture, Barcelona, Spain

    Alejandro Athie

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  1. Emre Guney
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  2. Alejandro Athie
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Correspondence to Emre Guney.

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Competing interests

E.G. is an employee of STALICLA, a clinical-stage biopharmaceutical company leading omics-based precision medicine drug development for patients with neurodevelopmental disorders through endophenotyping and artificial intelligence. A.A. is an employee of Accenture.

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Guney, E., Athie, A. A needle for Alzheimer’s in a haystack of claims data. Nat Aging 1, 1083–1085 (2021). https://doi.org/10.1038/s43587-021-00139-y

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