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Connection

Co-Authors

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

4.565
  1. Classification of Breast Cancer According to ERBB2 Immunohistochemistry Scores-Reply. JAMA Oncol. 2023 09 01; 9(9):1299-1300.
    View in: PubMed
    Score: 0.835
  2. Adjuvant Chemotherapy Use for Hormone Receptor-Positive, ERBB2-Negative Breast Cancer After RxPONDER Trial. JAMA Netw Open. 2025 Dec 01; 8(12):e2549109.
    View in: PubMed
    Score: 0.244
  3. Integration of Gene Expression and Digital Histology to Predict Treatment-Specific Responses in Breast Cancer. medRxiv. 2025 Aug 27.
    View in: PubMed
    Score: 0.240
  4. Trends and Disparities in the Use of Immunotherapy for Triple-Negative Breast Cancer in the US. JAMA Netw Open. 2025 02 03; 8(2):e2460243.
    View in: PubMed
    Score: 0.230
  5. Predicting pathologic complete response to neoadjuvant chemotherapy in breast cancer using a machine learning approach. Breast Cancer Res. 2024 Oct 29; 26(1):148.
    View in: PubMed
    Score: 0.226
  6. ASO Author Reflections: Breast-Conserving Surgery After Neoadjuvant Systemic Therapy for Early-Stage Breast Cancer: Quantitative Biomarkers and Disparities in the Precision-Medicine Era. Ann Surg Oncol. 2024 Dec; 31(13):8904-8905.
    View in: PubMed
    Score: 0.225
  7. Clinical Outcomes and Efficacy of Human Epidermal Growth Factor Receptor 2-Targeted Therapy in Breast Cancer With Uncommon In Situ Hybridization Patterns or Discordant Immunohistochemistry. JCO Oncol Adv. 2024; 1.
    View in: PubMed
    Score: 0.224
  8. Quantitative Biomarkers, Genomic Assays, and Demographics Associated with Breast-Conserving Surgery Following Neoadjuvant Therapy in Early-Stage, Hormone Receptor-Positive, HER-Negative Breast Cancer. Ann Surg Oncol. 2024 Dec; 31(13):8829-8842.
    View in: PubMed
    Score: 0.224
  9. Assessing the Relationship Between Neighborhood Socioeconomic Disadvantage and Telemedicine Use Among Patients With Breast Cancer and Examining Differential Provisions of Oncology Services Between Telehealth and In-Person Visits: Quantitative Study. JMIR Cancer. 2024 Jul 18; 10:e55438.
    View in: PubMed
    Score: 0.222
  10. Development and validation of a clinical breast cancer tool for accurate prediction of recurrence. NPJ Breast Cancer. 2024 Jun 15; 10(1):46.
    View in: PubMed
    Score: 0.220
  11. Validation of the RSClin risk calculator in the National Cancer Data Base. Cancer. 2024 04 15; 130(8):1210-1220.
    View in: PubMed
    Score: 0.213
  12. External Evaluation of a Mammography-based Deep Learning Model for Predicting Breast Cancer in an Ethnically Diverse Population. Radiol Artif Intell. 2023 Nov; 5(6):e220299.
    View in: PubMed
    Score: 0.207
  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: 0.204
  14. 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: 0.203
  15. 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: 0.203
  16. Response to Treatment, Racial and Ethnic Disparity, and Survival in Patients With Breast Cancer Undergoing Neoadjuvant Chemotherapy in the US. JAMA Netw Open. 2023 03 01; 6(3):e235834.
    View in: PubMed
    Score: 0.202
  17. 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: 0.180
  18. Deep Learning on Histopathological Images to Predict Breast Cancer Recurrence Risk and Chemotherapy Benefit. medRxiv. 2025 May 16.
    View in: PubMed
    Score: 0.059
  19. 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: 0.051
  20. 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: 0.051
  21. 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: 0.051
  22. 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: 0.050
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.