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Connection

Alexander Pearson to Retrospective Studies

This is a "connection" page, showing publications Alexander Pearson has written about Retrospective Studies.
Connection Strength

0.176
  1. Machine Learning-Guided Adjuvant Treatment of Head and Neck Cancer. JAMA Netw Open. 2020 11 02; 3(11):e2025881.
    View in: PubMed
    Score: 0.075
  2. Deep learning-based subtyping of gastric cancer histology predicts clinical outcome: a multi-institutional retrospective study. Gastric Cancer. 2023 09; 26(5):708-720.
    View in: PubMed
    Score: 0.022
  3. The EU-funded I3LUNG Project: Integrative Science, Intelligent Data Platform for Individualized LUNG Cancer Care With Immunotherapy. Clin Lung Cancer. 2023 06; 24(4):381-387.
    View in: PubMed
    Score: 0.022
  4. Highly accurate response prediction in high-risk early breast cancer patients using a biophysical simulation platform. Breast Cancer Res Treat. 2022 Nov; 196(1):57-66.
    View in: PubMed
    Score: 0.021
  5. Development and validation of deep learning classifiers to detect Epstein-Barr virus and microsatellite instability status in gastric cancer: a retrospective multicentre cohort study. Lancet Digit Health. 2021 10; 3(10):e654-e664.
    View in: PubMed
    Score: 0.020
  6. Capecitabine after Surgical Salvage in Recurrent Squamous Cell Carcinoma of Head and Neck. Otolaryngol Head Neck Surg. 2017 12; 157(6):995-997.
    View in: PubMed
    Score: 0.015
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.