2022
DOI: 10.1101/2022.10.23.513410
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Machine learning approaches based on fibroblast morphometry confidently identify stress but have limited ability to predict ALS

Abstract: Objective: Amyotrophic lateral sclerosis (ALS) is a devastating neuromuscular disease with limited therapeutic options. Diagnostic and surrogate endpoint biomarkers are needed for early disease detection, clinical trial design, and personalized medicine. Methods: We tested the predictive power of a large set of primary skin fibroblast (n=443) from sporadic and familial ALS patients and healthy controls. We measured morphometric features of endoplasmic reticulum, mitochondria, and lysosomes by imaging with vita… Show more

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