Giulia KennedyPhD
The Journal of Clinical Endocrinology & Metabolism · 2010

Molecular Classification of Thyroid Nodules Using High-Dimensionality Genomic Data

Darya Chudova, Jonathan I. Wilde, Eric T. Wang, Hui Wang, Nusrat Rabbee, Camila M. Egidio, Jessica Reynolds, Ed Tom, Moraima Pagan, C. Ted Rigl, Lyssa Friedman, C. Charles Wang, Richard B. Lanman, Martha Zeiger, Electron Kebebew, Juan Rosai, Giovanni Fellegara, Virginia A. LiVolsi, Giulia C. Kennedy

Senior authorverifiedThyroid nodule genomic classificationMachine learning for clinical diagnostics
Journal
The Journal of Clinical Endocrinology & Metabolism · vol. 95 · no. 12 · pp. 5296-5304
Published
Dec 2010

Synopsis

The development paper for the Afirma Gene Expression Classifier. The study set out to build a molecular test that distinguishes benign from malignant thyroid nodules using fine-needle aspirates, measuring more than 247,186 transcripts by mRNA expression analysis in 315 thyroid nodules. Kennedy is the last author.

In the career genome

  • VeracyteChapter 06 · Strand A · Company
    Veracyte, Inc.

    Veracyte

    Chief Scientific Officer; Chief Medical Officer from 2018; Global Chief Scientific Officer and Chief Medical Officer from 2022

    APR 2008 – DEC 2022
  • VeracyteChapter 07 · Strand B · Achievement
    Veracyte, Inc.

    Afirma

    Chief Scientific Officer, Veracyte

    JAN 2011 – JAN 2018