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  1. Home
  2. Articles
  3. Interpreting molecular similarity between patients as a determinant of disease comorbidity relationships

Interpreting molecular similarity between patients as a determinant of disease comorbidity relationships

Journal: Nature Communications

Published: 2020-06-05

DOI: 10.1038/s41467-020-16540-x

Affiliations: 11

Authors: 11

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Institutions Authors Share
Barcelona Supercomputing Center (BSC), Spain
0.36
Spanish National Cancer Research Centre (CNIO), Spain
0.18
Spanish National Bioinformatics Institute (INB), Spain
0.12
Institute of Evolutionary Biology (IBE), Spain
0.09
Biomedical Research Institute (INCLIVA), Spain
0.05
Biomedical Research Networking Center for Mental Health Network (CIBERSAM), Spain
0.05
Marseille Medical Genetics Center (MMG), France
0.03
French National Centre for Scientific Research (CNRS), France
0.03
Centre de Recherche en Cancérologie de Toulouse (CRCT), France
0.03
Université Toulouse III - Paul Sabatier (UPS), France
0.03
Catalan Institution for Research and Advanced Studies (ICREA), Spain
0.03

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Nature Index 2020 Artificial Intelligence

Nature Index 2020 Artificial Intelligence

Artificial intelligence is one of the most rapidly advancing and controversial topics in scientific research. As investments and revenues soar year-on-year and nations vie for leadership in the field, AI research output continues its steep, upward trajectory. But there are significant ethical and technical challenges to overcome.

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Nature Index 2020 Germany

Nature Index 2020 Germany

Germany's position as a research giant is defined by its strong and steady science funding and long-term investment in basic research. But although national science organizations are thriving under funding certainty, there are concerns that some universities will be left behind.

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