Alexander T Pearson

  • Associate Professor of Medicine
    Committee on Cancer Biology
    Committee on Clinical Pharmacology and Pharmacogenomics
    Committee on Genetics, Genomics and Systems Biology
  • Clinical Interests: Clinical Trials, Immunotherapy, Medical education, Salivary gland cancers, Squamous Cell Carcinoma Tumors
  • Research and Scholarly Interests: Education, Graduate Medical, Head and Neck Cancer, Mathematical Model, Models, Biologic, Neural Network Models, Salivary Gland Cancers, Statistical Models, Therapies, Combined Modality, Tumor Cell Lines, Tumor Immune Escape
  • Websites: Research Network Profile
  • Contact: apearson5@uchicago.edu
  • Graduate Programs: Cancer Biology, Genetics, Genomics & Systems Biology, UChicago Biosciences

The Pearson Lab integrates clinical expertise, mathematical modeling, high dimensional statistics, and basic tumor biology methods to investigate and propose new treatments for head and neck cancer.

University of Michigan
Ann Arbor, MI
Fellowship - Hematology/Oncology
2016

University of Michigan
Ann Arbor, MI
Postdoctoral Fellowship - Nor Lab (2013-2017)
2016

University of Michigan
Ann Arbor, MI
Residency - Internal Medicine
2012

University of Rochester
Rochester, NY
MD - Medicine
2010

University of Rochester
Rochester, NY
PhD - Statistics
2009

Cornell University
Ithaca, NY
BS - Biometry and Statistics
2002

Neoadjuvant Nivolumab Plus Chemotherapy Followed By Response-Adaptive Therapy for HPV+ Oropharyngeal Cancer: OPTIMA II Phase 2 Open-Label Nonrandomized Controlled Trial.
Neoadjuvant Nivolumab Plus Chemotherapy Followed By Response-Adaptive Therapy for HPV+ Oropharyngeal Cancer: OPTIMA II Phase 2 Open-Label Nonrandomized Controlled Trial. JAMA Oncol. 2024 Jul 01; 10(7):923-931.
PMID: 38842838

Evaluation of large language models as a diagnostic aid for complex medical cases.
Evaluation of large language models as a diagnostic aid for complex medical cases. Front Med (Lausanne). 2024; 11:1380148.
PMID: 38966538

Development and validation of a clinical breast cancer tool for accurate prediction of recurrence.
Development and validation of a clinical breast cancer tool for accurate prediction of recurrence. NPJ Breast Cancer. 2024 Jun 15; 10(1):46.
PMID: 38879577

Artificial intelligence-based epigenomic, transcriptomic and histologic signatures of tobacco use in oral squamous cell carcinoma.
Artificial intelligence-based epigenomic, transcriptomic and histologic signatures of tobacco use in oral squamous cell carcinoma. NPJ Precis Oncol. 2024 Jun 08; 8(1):130.
PMID: 38851780

Artificial intelligence-based morphologic classification and molecular characterization of neuroblastic tumors from digital histopathology.
Artificial intelligence-based morphologic classification and molecular characterization of neuroblastic tumors from digital histopathology. Res Sq. 2024 Jun 04.
PMID: 38883758

Quantum computing for oncology.
Quantum computing for oncology. Nat Cancer. 2024 Jun; 5(6):811-816.
PMID: 38760645

Acquired resistance to immunotherapy and chemoradiation in MYC amplified head and neck cancer.
Acquired resistance to immunotherapy and chemoradiation in MYC amplified head and neck cancer. NPJ Precis Oncol. 2024 May 23; 8(1):114.
PMID: 38783041

Characterizing the Increase in Artificial Intelligence Content Detection in Oncology Scientific Abstracts From 2021 to 2023.
Characterizing the Increase in Artificial Intelligence Content Detection in Oncology Scientific Abstracts From 2021 to 2023. JCO Clin Cancer Inform. 2024 May; 8:e2400077.
PMID: 38822755

Using histopathology latent diffusion models as privacy-preserving dataset augmenters improves downstream classification performance.
Using histopathology latent diffusion models as privacy-preserving dataset augmenters improves downstream classification performance. Comput Biol Med. 2024 Jun; 175:108410.
PMID: 38678938

Slideflow: deep learning for digital histopathology with real-time whole-slide visualization.
Slideflow: deep learning for digital histopathology with real-time whole-slide visualization. BMC Bioinformatics. 2024 Mar 27; 25(1):134.
PMID: 38539070

View All Publications

Mark Roth Award
University of Michigan
2015

Chief Fellow in Hematology/Oncology
University of Michigan
2014 - 2015