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Identification of potential pathways and biomarkers linked to progression in ALS.

Roland G HuberSwapnil PandeyDeepak ChhanganiDiego E Rincon-LimasNathan P StaffCrystal Jing Jing Yeo
Published in: Annals of clinical and translational neurology (2022)
This study showcases the powerful approach of iPSC-motor neuron proteomics combined with machine learning and biological confirmation in the prediction of novel mechanisms and diagnostic and predictive biomarkers in ALS.
Keyphrases
  • machine learning
  • amyotrophic lateral sclerosis
  • mass spectrometry
  • induced pluripotent stem cells