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Connection

Co-Authors

This is a "connection" page, showing publications co-authored by Rita Nanda and Alexander Pearson.
Connection Strength

1.190
  1. Integration of clinical features and deep learning on pathology for the prediction of breast cancer recurrence assays and risk of recurrence. NPJ Breast Cancer. 2023 Apr 14; 9(1):25.
    View in: PubMed
    Score: 0.230
  2. Highly accurate response prediction in high-risk early breast cancer patients using a biophysical simulation platform. Breast Cancer Res Treat. 2022 Nov; 196(1):57-66.
    View in: PubMed
    Score: 0.221
  3. Clinical trials of immunotherapy in triple-negative breast cancer. Breast Cancer Res Treat. 2022 Aug; 195(1):1-15.
    View in: PubMed
    Score: 0.219
  4. The emerging role of immune checkpoint inhibitors for the treatment of breast cancer. Expert Opin Investig Drugs. 2022 Jun; 31(6):531-548.
    View in: PubMed
    Score: 0.207
  5. The impact of site-specific digital histology signatures on deep learning model accuracy and bias. Nat Commun. 2021 07 20; 12(1):4423.
    View in: PubMed
    Score: 0.204
  6. Validation of the RSClin risk calculator in the National Cancer Data Base. Cancer. 2024 Apr 15; 130(8):1210-1220.
    View in: PubMed
    Score: 0.060
  7. Implementation of pharmacogenomic testing in oncology care (PhOCus): study protocol of a pragmatic, randomized clinical trial. Ther Adv Med Oncol. 2020; 12:1758835920974118.
    View in: PubMed
    Score: 0.049
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.