Artificial intelligence enables comprehensive genome interpretation and nomination of candidate diagnoses for rare genetic diseases

Francisco M. De La Vega(Tempus Labs (United States)), Stephen F. Kingsmore(Rady Children's Hospital-San Diego), Erwin Frise(Lawrence Berkeley National Laboratory), Lucia Guidugli(Children’s Institute), Kiely N. James(Children’s Institute), Mark Yandell(Star Center), Katrin Õunap(Tartu University Hospital), Terence C. Wong(Children’s Institute), Jeanette McCarthy(ID Genomics (United States)), Keri Ramsey(Translational Genomics Research Institute), Shawn Levy(HudsonAlpha Institute for Biotechnology), Catherine A. Brownstein(Boston Children's Hospital), Martin G. Reese(ID Genomics (United States)), Vinodh Narayanan(Translational Genomics Research Institute), Barry Moore(University of Utah), Alan H. Beggs(Boston Children's Hospital), Shimul Chowdhury, Britt-Sabina Löscher(Christian-Albrechts-Universität zu Kiel), André Franke(Christian-Albrechts-Universität zu Kiel), Narayanan Veeraraghavan(Baylor Genetics), Pankaj B. Agrawal(Post Graduate Institute of Medical Education and Research), Paul R. Billings(Natera (United States)), Casie A. Genetti(Boston Children's Hospital), Matt Huentelman(Translational Genomics Research Institute), Braden Boone(HudsonAlpha Institute for Biotechnology), Edgar J. Hernández(University of Utah), Marcus Naymik(Translational Genomics Research Institute), Sander Pajusalu(MACOM (United States))
Genome Medicine
October 13, 2021
Cited by 154


Related Papers