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  1. Home
  2. Articles
  3. Machine learning can identify newly diagnosed patients with CLL at high risk of infection

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

Journal: Nature Communications

Published: 2020-01-17

DOI: 10.1038/s41467-019-14225-8

Affiliations: 14

Authors: 20

Go to article
Institutions Authors Share
Copenhagen University Hospital (CUH), Denmark
0.25
Centre of Excellence for Health, Immunity and Infections (CHIP), Denmark
0.25
Center for Integrated Oncology Aachen Bonn Köln Düsseldorf (CIO), Germany
0.12
DTU Department of Applied Mathematics and Computer Science (DTU Compute), Denmark
0.08
Department of Medicine, UChicago, United States of America (USA)
0.05
UCL, United Kingdom (UK)
0.05
Department of Mathematics, BIU, Israel
0.05
Evolutionary Genomics, Modeling and Health (GEMS), France
0.05
University of Zurich (UZH), Switzerland
0.03
Department of Public Health, UCPH, Denmark
0.03
Pasteur Institute, France
0.03
University Hospital of Cologne, Germany
0.02
Cluster of Excellence - Cologne Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD), UoC, Germany
0.02

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Nature Index 2021 Asia Pacific

Nature Index 2021 Asia Pacific

Sustainability, climate-change mitigation, and biomedical science are key areas for future research prowess in the Asia-Pacific region. While COVID-19 travel restrictions have disrupted collaborations between far-flung nations, they have focused attention on vast opportunities for researchers in countries in close proximity and South and southeast Asia to work more closely together on new initiatives.

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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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