Giulia KennedyPhD
The Lancet Respiratory Medicine · 2015

Classification of usual interstitial pneumonia in patients with interstitial lung disease: assessment of a machine learning approach using high-dimensional transcriptional data

Kim SY, Diggans J, Pankratz D, Huang J, et al., Kennedy GC

strongly supportedPulmonary genomic classifiersMachine learning for clinical diagnostics
Journal
The Lancet Respiratory Medicine · vol. 3 · no. 6 · pp. 473-482
Published
Jun 2015

Synopsis

Veracyte's first interstitial lung disease paper: a proof of concept that machine learning on high-dimensional transcriptional data can classify the usual interstitial pneumonia pattern in patients with interstitial lung disease, the foundation of the Envisia Genomic Classifier. The retrieved record names Kim, Diggans, Pankratz, Huang "and colleagues including Kennedy GC" without showing her position.

In the career genome

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