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Dynamic Risk Profiling Using Serial Tumor Biomarkers for Personalized Outcome Prediction.

Journal: Cell

Published: 2019-07-01

DOI: 10.1016/j.cell.2019.06.011

Affiliations: 19

Authors: 23

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Institutions Share
Stanford Division of Oncology, United States of America (USA) 0.26
Clinic for Hematology, UDE, Germany 0.09
NIH NCI Lymphoid Malignancies Branch, United States of America (USA) 0.09
Center for Integrated Oncology Aachen Bonn Köln Düsseldorf (CIO), Germany 0.07
Stanford Institute for Stem Cell Biology and Regenerative Medicine (ISCBRM), United States of America (USA) 0.05
Lipids, Nutrition, Cancer (LNC), France 0.04
Department of Lymphoma and Myeloma, MD Anderson Cancer Center, United States of America (USA) 0.04
Department of Internal Medicine II - Hematology and Oncology, UKSH Kiel, Germany 0.04
University Medicine Rostock, Germany 0.04
Department of Immunology, Erasmus MC, Netherlands 0.04
Dipartimento di Medicina Traslazionale, UNIPMN, Italy 0.04
Institute of Oncology Research (IOR), IOSI, Switzerland 0.04
Stanford Cancer Institute (SCI), United States of America (USA) 0.03
Stanford Division of Hematology, United States of America (USA) 0.03
Cluster of Excellence - Cologne Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), UoC, Germany 0.02
Stanford Department of Statistics, United States of America (USA) 0.02
Stanford Department of Biomedical Data Science, United States of America (USA) 0.02
Stanford Department of Bioengineering, United States of America (USA) 0.01
Stanford Department of Radiation Oncology, United States of America (USA) 0.01

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