Alexander T Pearson

36PUBLICATIONS
142CO-AUTHORS
Deep learningPredictive and prognostic markersMolecular targetsSemi- and unsupervised learningAdversarial machine learning
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Publications (36)

|Jun 17, 2026
Counterfactual Diffusion Models Provide Interpretable Explanations of Artificial Intelligence Models in Pathology.

|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.

|Mar 20, 2026
MDM2 Inhibition with Alrizomadlin (APG-115) in TP53 wild-type salivary gland cancers: a phase I clinical trial.

Alexander T Pearson, Jameel Muzaffar, Kedar Kirtane

|May 27, 2025
Early Dynamics of Circulating Tumor HPV-DNA with Neoadjuvant Chemotherapy and Response-Adapted De-escalation in Human Papillomavirus-Associated Oropharyngeal Cancer.

Ari J Rosenberg, Evgeny Izumchenko, Aditya Juloori

|Feb 20, 2025
End-to-end prediction of clinical outcomes in head and neck squamous cell carcinoma with foundation model-based multiple instance learning.

Asier Rabasco Meneghetti, Marta Ligero Hernández, Jens-Peter Kuehn

|Nov 15, 2024
Generative adversarial networks accurately reconstruct pan-cancer histology from pathologic, genomic, and radiographic latent features.

Frederick M Howard, Hanna M Hieromnimon, Siddhi Ramesh

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Frequent Collaborators

7 joint publications

Frederick Matthew Howard

6 joint publications

James M Dolezal

5 joint publications

Jakob Nikolas Kather

5 joint publications

Evgeny Izumchenko