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Advances in Radiation Oncology

Cover Image - Advances in Radiation Oncology, Volume 8, Issue 1

Advances in Radiation Oncology is a peer reviewed, wide-ranging open access journal from the American Society for Radiation Oncology (ASTRO). Included in PubMed Central, Advances complements the research in the International Journal of Radiation Oncology • Biology • Physics and Practical Radiation Oncology. The mission of Advances in Radiation Oncology is to provide original clinical research aimed at improving the lives of people living with cancer and other diseases treated with radiation therapy. More

About ASTRO

ASTRO Founded in 1958, ASTRO's mission is to advance the practice of radiation oncology by promoting excellence in patient care, providing opportunities for educational and professional development, promoting research and disseminating research results and representing radiation oncology in a rapidly evolving health care environment.

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Other ASTRO Journals

International Journal of Radiation Oncology • Biology • Physics (IJROBP)

International Journal of Radiation Oncology • Biology • Physics (IJROBP), known in the field as the Red Journal, offers authoritative articles linking new research and technologies to clinical applications.

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Practical Radiation Oncology (PRO)

Practical Radiation Oncology (PRO) is a bimonthly journal whose mission is to improve the quality of radiation oncology practice.

Podcasts

Advances FLASH Podcast

The James Cancer Hospital and Ohio State Comprehensive Cancer Center FLASH research team review ultra-high dose rate radiation delivery and measurement and share insight from developing a FLASH research program. Advances in Radiation Oncology associate section editor, Ashley Cetnar, PhD, leads a discussion with Arnab Chakravarti, MD, Nilendu Gupta, PhD, Ahmet Ayan, PhD, and Jessica Fleming PhD.

Advances FLASH Podcast

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COVID-19

COVID-19 and Radiation Oncology
Thomas Eichler, MD, FASTRO discusses the ongoing COVID-19 pandemic and its impact on radiation oncology clinics, providers, and patients.

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Machine Learning

Todd McNutt, Ph. D, author of an article recently published in Advances, shares the process and results of using machine learning methods to identify dose patterns that predict for xerostomia in head and neck cancer patients. Dr. McNutt identifies the advantages and challenges inherent in utilizing this newer method rather than more traditional predictors. Advances associate senior editor, Matthew Studenski, Ph. D provides perspective on the growing use of machine learning and AI in medical research. Music by D. Tegbaru, used with permission.

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Gender Equity

Achieving Gender Equity in the Radiation Oncology Physician Workforce
A new article published in Advances in Radiation Oncology, an open access journal of the American Society for Radiation Oncology, shows radiation oncology ranks near the bottom in female representation relative to other specialties. More

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