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Connection

Co-Authors

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

4.516
  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: 0.894
  2. Clinical trials of immunotherapy in triple-negative breast cancer. Breast Cancer Res Treat. 2022 Aug; 195(1):1-15.
    View in: PubMed
    Score: 0.885
  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: 0.840
  4. Validation of the RSClin risk calculator in the National Cancer Data Base. Cancer. 2024 Apr 15; 130(8):1210-1220.
    View in: PubMed
    Score: 0.245
  5. The impact of race and age on response to neoadjuvant therapy and long-term outcomes in Black and White women with early-stage breast cancer. Breast Cancer Res Treat. 2023 Jul; 200(1):75-83.
    View in: PubMed
    Score: 0.234
  6. 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: 0.233
  7. 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: 0.232
  8. The Impact of Race and Age on Response to Neoadjuvant Therapy and Long-Term Outcomes in Black and White Women with Early-Stage Breast Cancer. Res Sq. 2023 Mar 16.
    View in: PubMed
    Score: 0.232
  9. The evolving therapeutic landscape of antibody-drug conjugates in breast cancer. Expert Rev Anticancer Ther. 2022 12; 22(12):1325-1331.
    View in: PubMed
    Score: 0.227
  10. 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: 0.207
  11. Bilateral asymmetry of quantitative parenchymal kinetics at ultrafast DCE-MRI predict response to neoadjuvant chemotherapy in patients with HER2+ breast cancer. Magn Reson Imaging. 2023 Aug 21; 104:9-15.
    View in: PubMed
    Score: 0.060
  12. Molecular profiling of a real-world breast cancer cohort with genetically inferred ancestries reveals actionable tumor biology differences between European ancestry and African ancestry patient populations. Breast Cancer Res. 2023 05 25; 25(1):58.
    View in: PubMed
    Score: 0.059
  13. Evaluation of multigene assays as predictors for response to neoadjuvant chemotherapy in early-stage breast cancer patients. NPJ Breast Cancer. 2023 May 06; 9(1):33.
    View in: PubMed
    Score: 0.058
  14. Racial Disparities in Pathological Complete Response Among Patients Receiving Neoadjuvant Chemotherapy for Early-Stage Breast Cancer. JAMA Netw Open. 2023 03 01; 6(3):e233329.
    View in: PubMed
    Score: 0.058
  15. 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: 0.054
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.