Applications of machine learning to diagnosis and treatment of neurodegenerative diseases.

Nature Reviews. Neurology
Monika A MyszczynskaLaura Ferraiuolo

Abstract

Globally, there is a huge unmet need for effective treatments for neurodegenerative diseases. The complexity of the molecular mechanisms underlying neuronal degeneration and the heterogeneity of the patient population present massive challenges to the development of early diagnostic tools and effective treatments for these diseases. Machine learning, a subfield of artificial intelligence, is enabling scientists, clinicians and patients to address some of these challenges. In this Review, we discuss how machine learning can aid early diagnosis and interpretation of medical images as well as the discovery and development of new therapies. A unifying theme of the different applications of machine learning is the integration of multiple high-dimensional sources of data, which all provide a different view on disease, and the automated derivation of actionable insights.

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Citations

Sep 14, 2020·Medical & Biological Engineering & Computing·Emre Avuçlu, Abdullah Elen
Dec 2, 2020·Journal of Personalized Medicine·Christina VasilopoulouWilliam Duddy
Dec 4, 2020·Journal of Drug Targeting·Panoraia I SiafakaNeslihan Üstündağ Okur
Feb 11, 2021·The Journal of Microbiology·Shahbaz RazaTatsuya Unno
Feb 11, 2021·Life·Ruggiero SecciaFrancesca Grassi
Feb 18, 2021·Clinical Orthopaedics and Related Research·Michael P Murphy, Nicholas M Brown
Mar 25, 2021·Mathematical Biosciences and Engineering : MBE·Marios G KrokidisPanagiotis Vlamos
Apr 6, 2021·Movement Disorders Clinical Practice·Rahul GannamaniMarina A J Tijssen
Apr 24, 2021·Neuroscience Letters·Laura Ferraiuolo, Nicholas J Maragakis
May 19, 2021·Nature Reviews. Urology·Jae Bem YouDavid Sinton
May 10, 2021·Journal of Biomedical Informatics·Ahmed H AlkenaniQing Zhang
Jul 22, 2021·Nature Reviews. Neurology·Meichen YuAndrew J Saykin
Aug 12, 2021·Molecular Neurodegeneration·Laura PasettoValentina Bonetto

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Methods Mentioned

BETA
endotyping

Software Mentioned

Google TensorFlow
Comprehend Medical
OmniPath
Ensembl
Kinesia
KinetiGraph
SmartFABER
ENIGMA
ChEMBL

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