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Automated immunofluorescence analysis for sensitive and precise dystrophin quantification in muscle biopsies.

Tatyana A MeyersStefan NicolauAdrienne J BradleyEmma C FrairKevin M Flanigan
Published in: Neuropathology and applied neurobiology (2021)
As efforts to restore dystrophin expression in dystrophic muscle bring new potential therapies into clinical trials, this methodology represents a valuable tool for efficient and precise analysis of dystrophin and other muscle markers that reflect treatment efficacy.
Keyphrases
  • duchenne muscular dystrophy
  • skeletal muscle
  • clinical trial
  • muscular dystrophy
  • poor prognosis
  • machine learning
  • high throughput
  • deep learning
  • long non coding rna
  • risk assessment
  • human health
  • double blind