Giulia KennedyPhD
Annals of the American Thoracic Society · 2017

Usual Interstitial Pneumonia Can Be Detected in Transbronchial Biopsies Using Machine Learning

Daniel G. Pankratz, Yoonha Choi, Urooj Imtiaz, Grażyna M. Fedorowicz, Jessica D. Anderson, Thomas V. Colby, Jeffrey L. Myers, David A. Lynch, Kevin K. Brown, Kevin R. Flaherty, Mark P. Steele, Steve D. Groshong, Ganesh Raghu, Neil M. Barth, P. Sean Walsh, Jing Huang, Giulia C. Kennedy, Fernando J. Martinez

Co-authorverifiedPulmonary genomic classifiersMachine learning for clinical diagnostics
Journal
Annals of the American Thoracic Society · vol. 14 · no. 11 · pp. 1646-1654
Published
1 Nov 2017

Synopsis

The development paper for the Envisia Genomic Classifier, showing that a machine-learning classifier can detect the usual interstitial pneumonia pattern in transbronchial biopsy samples. Kennedy is seventeenth of eighteen authors, before Fernando J. Martinez.

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