Predictive Disease Modeling

Predictive Disease Modeling is a computational framework within translational systems biology that integrates multi-scale biological data to generate testable hypotheses about disease progression and therapeutic response, distinguished by its emphasis on dynamic simulation and quantitative prediction of phenotypic outcomes.

141

Publications

8.6K

Citations

791

Authors

351

Institutions

Publications per year

2017–2026

76

Authors

791

  1. YZ
    Yu Zhou

    Huazhong University of Science and Technology, China

    2 publications · 163 citations

    2

    h-index

  2. WC
    Weiwei Chen

    Huazhong University of Science and Technology, China

    2 publications · 163 citations

    2

    h-index

  3. PH
    Philip H. S. Torr

    University of Oxford, United Kingdom

    2 publications · 163 citations

    2

    h-index

  4. DT
    Dandan Tu

    Huazhong University of Science and Technology, China

    2 publications · 163 citations

    2

    h-index

  5. MH
    Martin Hofmann‐Apitius

    Fraunhofer Institute for Algorithms and Scientific Computing, Germany

    2 publications · 85 citations

    2

    h-index

1–5 of 791

Venues

  1. Bioinformatics

    12 publications · 458 citations

    11

    h-index

  2. PLoS ONE

    4 publications · 48 citations

    4

    h-index

  3. Briefings in Bioinformatics

    4 publications · 103 citations

    4

    h-index

  4. arXiv (Cornell University)

    Repository · 3 publications · 107 citations

    3

    h-index

  5. Scientific Reports

    3 publications · 112 citations

    3

    h-index

1–5