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Reclassifying neurodegenerative diseases

Nature Biomedical Engineering volume 4, pages 759–760 (2020)Cite this article

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An Author Correction to this article was published on 17 September 2020

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Neuropathologies can be classified, on the basis of post-mortem histopathology and by using machine learning, into six transdiagnostic clusters associated with clinical phenotypes.

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Fig. 1: Clusters of neurodegenerative diseases defined by pathological features.

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Authors and Affiliations

  1. Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA

    Pablo Villoslada

  2. Department of Neurosciences, Institut d’Investigacions Biomèdiques August Pi Sunyer, Barcelona, Spain

    Pablo Villoslada

  3. Khoury College of Computer Sciences, Northeastern University at Silicon Valley, San Jose, CA, USA

    Ricardo Baeza-Yates

  4. Department of Information and Communication Technologies, Pompeu Fabra University, Barcelona, Spain

    Ricardo Baeza-Yates

  5. Nantz National Alzheimer Center, Department of Neurology, Houston Methodist Neurological and Research Institutes, Houston, TX, USA

    Joseph C. Masdeu

  6. Department of Neurology, Weill Cornell Medicine, New York, NY, USA

    Joseph C. Masdeu

Authors
  1. Pablo Villoslada
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  2. Ricardo Baeza-Yates
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  3. Joseph C. Masdeu
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Corresponding author

Correspondence to Pablo Villoslada.

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Competing interests

P.V. owns stocks and has received consultancy fees from Accure Therapeutics, Health Engineering, QMENTA, Attune Neurosciences, CLight, NeuroPrex and Spiral Therapeutics. These companies are not associated with this work. J.C.M. has received consultancy fees from Biogen and is on their Speaker Bureau, and has received research support from AbbVie, Biogen, Esai, Eli Lilly and Company, and Novartis. R.B.-Y. declares no competing interests.

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Villoslada, P., Baeza-Yates, R. & Masdeu, J.C. Reclassifying neurodegenerative diseases. Nat Biomed Eng 4, 759–760 (2020). https://doi.org/10.1038/s41551-020-0600-3

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