Frederick Matthew Howard

22PUBLICATIONS
64CO-AUTHORS
Predictive and prognostic markersCellular immunologyMolecular targetsDeep learningAdversarial machine learning
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Publications (22)

|May 29, 2026
Accessible Clinical Tool for Prognosis and Chemotherapy Prediction in Hormone Receptor-Positive/Human Epidermal Growth Factor Receptor 2-Negative Breast Cancer in Diverse and Low-Resource Settings.

|May 20, 2026
Multi-modal AI for comprehensive breast cancer prognostication.

|May 04, 2026
Histology-Derived Signatures Predict Recurrence Risk and Chemotherapy Benefit in Randomized Trials of Early Breast Cancer.

|Nov 10, 2025
Machine Learning-Based Prediction of Distant Recurrence Risk and Ribociclib Treatment Effect in HR+/HER2- Early Breast Cancer Using Real-World and NATALEE Data.

Frederick M Howard, Peter A Fasching, Cesar A Santa-Maria

|Oct 27, 2025
Virtual multiplex immunofluorescence identifies lymphocyte subsets predictive of response to neoadjuvant therapy.

Anran Li, Madeleine Torcasso, Anna Woodard

|Sep 12, 2025
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.

Qianchen Zhang, Jincong Q Freeman, Fangyuan Zhao

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Frequent Collaborators

9 joint publications

Rita Nanda

7 joint publications

Alexander T Pearson

6 joint publications

Jincong Q Freeman

6 joint publications

Dezheng Huo