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Last Name
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Connection

Co-Authors

This is a "connection" page, showing publications co-authored by Alexander Pearson and Frederick Howard.

 
Connection Strength
 
 
 
3.401
 
  1. Howard FM, Dolezal J, Kochanny S, Schulte J, Chen H, Heij L, Huo D, Nanda R, Olopade OI, Kather JN, Cipriani N, Grossman RL, Pearson AT. 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: 0.929
  2. Howard FM, Kochanny S, Koshy M, Spiotto M, Pearson AT. Machine Learning-Guided Adjuvant Treatment of Head and Neck Cancer. JAMA Netw Open. 2020 11 02; 3(11):e2025881.
    View in: PubMed
    Score: 0.884
  3. Howard FM, Pearson AT. Prognosis and Treatment of Non-Small Cell Lung Cancer in the Age of Deep Learning. JAMA Netw Open. 2020 06 01; 3(6):e206368.
    View in: PubMed
    Score: 0.859
  4. Howard FM, Pearson AT, Nanda R. Clinical trials of immunotherapy in triple-negative breast cancer. Breast Cancer Res Treat. 2022 Aug; 195(1):1-15.
    View in: PubMed
    Score: 0.249
  5. Nair V, Auger S, Kochanny S, Howard FM, Ginat D, Pasternak-Wise O, Juloori A, Koshy M, Izumchenko E, Agrawal N, Rosenberg A, Vokes EE, Skandari MR, Pearson AT. Development and Validation of a Decision Analytical Model for Posttreatment Surveillance for Patients With Oropharyngeal Carcinoma. JAMA Netw Open. 2022 04 01; 5(4):e227240.
    View in: PubMed
    Score: 0.244
  6. Howard FM, Villamar D, He G, Pearson AT, Nanda R. 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: 0.236
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.