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Connection

Alexander Pearson to Tumor Burden

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This is a "connection" page, showing publications Alexander Pearson has written about Tumor Burden.
Alexander Pearson
Connection Strength
0.390
Tumor Burden
  1. Machine Learning-Guided Adjuvant Treatment of Head and Neck Cancer. JAMA Netw Open. 2020 11 02; 3(11):e2025881.
    View in: PubMed
    Score: 0.175
  2. Patient-derived xenograft (PDX) tumors increase growth rate with time. Oncotarget. 2016 Feb 16; 7(7):7993-8005.
    View in: PubMed
    Score: 0.126
  3. Classical mathematical models for prediction of response to chemotherapy and immunotherapy. PLoS Comput Biol. 2022 02; 18(2):e1009822.
    View in: PubMed
    Score: 0.048
  4. In Silico Models Accurately Predict In Vivo Response for IL6 Blockade in Head and Neck Cancer. Cancer Res. 2020 04 01; 80(7):1451-1460.
    View in: PubMed
    Score: 0.042
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.