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Connection

Co-Authors

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

3.548
  1. 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: 0.950
  2. Clinical trials of immunotherapy in triple-negative breast cancer. Breast Cancer Res Treat. 2022 Aug; 195(1):1-15.
    View in: PubMed
    Score: 0.940
  3. 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: 0.892
  4. Clinicopathologic Characteristics and Prognosis of ERBB2-Low Breast Cancer Among Patients in the National Cancer Database. JAMA Oncol. 2023 04 01; 9(4):500-510.
    View in: PubMed
    Score: 0.247
  5. The evolving therapeutic landscape of antibody-drug conjugates in breast cancer. Expert Rev Anticancer Ther. 2022 Nov 21.
    View in: PubMed
    Score: 0.241
  6. 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: 0.220
  7. Differences Between Ipsilateral and Contralateral Early Parenchymal Enhancement Kinetics Predict Response of Breast Cancer to Neoadjuvant Therapy. Acad Radiol. 2022 10; 29(10):1469-1479.
    View in: PubMed
    Score: 0.058
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.