Predictive Biomarker Modeling

Predictive Biomarker Modeling is a computational or statistical framework that identifies and validates biomarkers to prospectively stratify patients based on their anticipated therapeutic response within personalized immunotherapy regimens.

180

Publications

8.9K

Citations

1.8K

Authors

709

Institutions

Publications per year

2017–2026

128

Authors

1.8K

  1. YH
    Ying Huang

    Fred Hutch Cancer Center, United States

    3 publications · 159 citations

    3

    h-index

  2. LT
    Lorenzo Trippa

    Dana-Farber Cancer Institute, United States

    3 publications · 187 citations

    3

    h-index

  3. JL
    James L.M. Ferrara

    University of Michigan, United States

    2 publications · 319 citations

    2

    h-index

  4. DW
    Daniela Weber

    University Hospital Regensburg, Germany

    2 publications · 319 citations

    2

    h-index

  5. PP
    Purvi Parikh

    Incell Corporation (United States), United States

    2 publications · 218 citations

    2

    h-index

1–5 of 1.8K

Venues

  1. Frontiers in Immunology

    14 publications · 627 citations

    13

    h-index

  2. Scientific Reports

    8 publications · 192 citations

    8

    h-index

  3. Biometrics

    7 publications · 284 citations

    7

    h-index

  4. Clinical Cancer Research

    5 publications · 327 citations

    5

    h-index

  5. PLoS ONE

    4 publications · 131 citations

    4

    h-index

1–5