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Julian Hong, MD, Radiation Oncology, San Francisco, CA

Julian Clint Hong MD MS


Assistant Professor

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  • 1825 Fourth StSuite L1101San Francisco, CA 94143

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Summary

  • Dr. Julian Hong is a radiation oncologist in San Francisco, CA and is affiliated with UCSF Medical Center. He received his medical degree from University of Wisconsin School of Medicine and Public Health and has been in practice 2 years. He is experienced in prostate cancer, general radiation oncology, and urologic radiation oncology.

Education & Training

  • Duke University Hospital
    Duke University HospitalResidency, Radiation Oncology, 2015 - 2019
  • Yale-New Haven Medical Center
    Yale-New Haven Medical CenterInternship, Internal Medicine, 2014 - 2015
  • University of Wisconsin School of Medicine & Public Health
    University of Wisconsin School of Medicine & Public HealthClass of 2014, MD
  • Stanford University
    Stanford UniversityMS, Bioengineering, 2007 - 2009
  • Stanford University
    Stanford UniversityBS, Biomedical Computation, 2004 - 2008

Certifications & Licensure

  • CA State Medical License
    CA State Medical License 2019 - 2027
  • NC State Medical License
    NC State Medical License 2015 - 2019
  • Clinical Informatics
    American Board of Preventive Medicine Clinical Informatics
  • Radiation Oncology
    American Board of Radiology Radiation Oncology

Clinical Trials

Publications & Presentations

PubMed

Journal Articles

  • Classification for Long-Term Survival in Oligometastatic Patients Treated with Ablative Radiotherapy: A Multi-Institutional Pooled Analysis  
    Julian C Hong, A William Blackstock, Joseph K Salama, Paul Okunieff, Michael T Milano, James J Urbanic, Ralph R Weichselbaum, Johnny Kao, Max W Sung, Steven J Chmura, PLoS One

Lectures

  • Characterization of temporal relationships of comorbidities developed following cancer diagnoses in veterans. 
    2019 ASCO Annual Meeting - 6/1/2019

Press Mentions

  • Barriers to Wider Use of AI in Oncology: Inaccuracy, Workflow Challenges, and More
    Barriers to Wider Use of AI in Oncology: Inaccuracy, Workflow Challenges, and MoreMarch 25th, 2025
  • Mevrometostat Combo Posts Strong Data in Early-Phase Prostate Cancer Trial
    Mevrometostat Combo Posts Strong Data in Early-Phase Prostate Cancer TrialFebruary 21st, 2025
  • Radiographic PFS in Metastatic CRPC More Than Doubles with Novel Combination
    Radiographic PFS in Metastatic CRPC More Than Doubles with Novel CombinationFebruary 13th, 2025
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Grant Support

  • Multi-institutional validation of a multi-modal machine learning algorithm to predict and reduce acute care during cancer therapyUNIVERSITY OF CALIFORNIA, SAN FRANCISCO2023–2028
  • RSNA Medical Student Research GrantRadiological Society of North America2013–2014

Committees

  • Member, NRG Cancer Care Delivery Research Committee 2018 - Present

Professional Memberships

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