Machine learning can identify newly diagnosed patients with CLL at high risk of infection

Rudi Agius(Copenhagen University Hospital), Carsten Utoft Niemann(University of Copenhagen), Michael Asger Andersen(Copenhagen University Hospital), Jacob Bergstedt(Institut Pasteur), Carmen Herling(University Hospital Leipzig), Christian Brieghel(Copenhagen University Hospital), Alexander T. Pearson(University of Chicago), Jakob Hjorth von Stemann(Copenhagen University Hospital), Cameron Ross MacPherson(Copenhagen University Hospital), Alessandro Cozzi‐Lepri(University College London), Jan Larsen(Stavanger University Hospital), Jasmin Bahlo(University Hospital Cologne), Michael Hallek(Integrated Oncology (United States)), Jens Lundgren(Centre of Excellence for Health, Immunity and Infections), Christen Lykkegaard Andersen(Copenhagen University Hospital), Yoram Louzoun(Bar-Ilan University), Bruno Ledergerber(University of Zurich), Man‐Hung Eric Tang(Copenhagen University Hospital), Magnus Fontes(Institut Pasteur), Mette Jørgensen(Copenhagen University Hospital)
Nature Communications
January 17, 2020
10.1038/s41467-019-14225-8
Cited by 125

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