We strive to share our work with the scientific and academic communities. Check out some of our recent research below.

Oncora and MD Anderson abstract accepted as Oral presentation at the 2019 ASCO Quality Care Symposium

Aug. 1, 2019

The department of Radiation Oncology at MD Anderson and Oncora will present their abstract on "Improving quality through A.I.: Applying machine learning to predict unplanned hospitalizations after radiation," at the 2019 ASCO Quality of Care Symposium in San Diego, CA. This abstract has a focus on patients who underwent RT ...

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Oncora, MD Anderson poster presentation highlighted at the NCI Childhood Cancer Data Initiative Symposium

July 29, 2019

Oncora traveled to Washington DC to highlight the success of building a pediatric oncology research database with Oncora's point-of-care electronic data capture and automated data extraction software for the department of radiation oncology at MD Anderson. The 3 day symposium will bring together leaders to discuss the current issues and ...

Applications of AI to Real World Data in Radiation Oncology

July 25, 2019

Christopher Ahern, PhD Oncora traveled to the NIH campus in Bethesda, MD to discuss current applications of AI to real world data in radiation oncology. The NCI State of Data Science in Radiation Oncology workshop brought together leaders from MD Anderson, Penn Medicine, Johns Hopkins, Yale Medicine, Sidney Kimmel Cancer ...

Oncora and MD Anderson authored research accepted for oral presentation for ASTRO 2019

June 1, 2019

Oncora will travel to Chicago this September to present an oral presentation on applying a machine learning techniques to predict acute radiation toxicities for head and neck cancer patients. Mark your calendars for Tuesday, September 17th at 2:45 CST!

Medical Physics
Oncora, UPenn, and UMaryland co-author research published in Medical Physics

Nov. 30, 2018

To date, this is the largest breast cancer study to demonstrate that is it is feasible to automatically extract EMR data and use the data to train reliable predictive models of post-RT treatment failures and adverse events.

astro and elsevier
Oncora and radiation oncology leaders review the future impact of AI in radiation oncology

Oct. 2, 2018

Industry leaders and Oncora consider implications of AI in radiation oncology for patients, providers, and the entire healthcare system.

Oncora and MD Anderson abstract accurately predicts acute RT toxicities, and will be presented at ASTRO 2018

Oct. 1, 2018

Oncora heads to San Antonio, TX showcasing a successful application of a machine learning-based, precision oncology approach to accurately predict acute RT toxicities. Presentation will be delivered by Dr. Jay Reddy, a radiation oncologists at MD Anderson Department of Radiation Oncology.

Implementing an Electronic Data Capture System to Improve Clinical Workflow in a Large Academic Radiation Oncology Practice

Oct. 1, 2018

Published in the Journal of Clinical Oncology, Brocade [before Oncora Patient Care] proves to be a reliable Web-based EDC tool that improves clinical documentation without disrupting clinical workflow. Moreover, Brocade has the advantage of capturing data in a structured manner that facilitates real-time analytics and outcome reporting.

astro and elsevier
Electronic data capture system, built by Oncora and MD Anderson, to be highlighted at ASTRO 2018

June 30, 2018

An abstract authored by MD Anderson was accepted for publication and presentation at ASTRO's annual meeting. The study emphasizes a prospective electronic data capture tool built in collaboration between Oncora and MD Anderson to improve workflow and research.

Oncora to present two abstracts at the 2018 AAPM conference

May 1, 2018

Oncora will travel to Nashville, TN to present two accepted abstracts! The first abstract will discuss linearity of risk functions across radiotherapy outcomes. And the second will explore predictors of unplanned hospitalizations after radiotherapy. Great work data science team!

Oncora manuscript published in the journal Lung Cancer

March 20, 2018

Oncora's research discusses the postoperative outcomes and overall survival for malignant pleural mesothelioma by facility volume...

journal of thoracic oncology
Oncora manuscript accepted in Journal of Thoracic Oncology

Nov. 1, 2017

National Cancer Database Report on Pneumonectomy versus Lung-Sparing Surgery for Malignant Pleural Mesothelioma...

Oncora research accepted to ASTRO 2017

Sept. 24, 2017

Oncora Medical recently showcased new research at the annual ASTRO conference in San Diego, CA discussing the potential impact of predictive analytics in radiation oncology...

Oncora presents two research abstracts at the 2017 AAPM

July 30, 2017

Oncora Medical traveled to Denver, CO to present two abstracts at the annual American Association of Physicists in Medicine, exploring which clinical variables contribute the most to the prediction of different radiotherapy outcomes and practical uses for radiation oncologists...

astro and elsevier
Radiation Oncology Health Information Technology: Is It Working For or Against Us?

June 30, 2017

Radiation oncology software, Brocade (now Oncora Patient Care), improves workflow at MD Anderson Cancer Center by reducing documentation time for breast radiation oncologists by 68%. Leaders in the radiation oncology field further address the need for improvements in HIT to improve clinical efficiency, reliability, cost effectiveness, provider satisfaction and patient ...

Oncora presents new research at ASTRO 2016

Sept. 28, 2016

Oncora Medical was recently in Boston to present new research comparing the predictive power of treatment site-specific and treatment site-agnostic models at the 58th Annual Meeting of American Society for Radiation Oncology (ASTRO). The abstract is published in ASTRO's official journal.

Oncora presents research at National Cancer Institute workshop on Precision Medicine

June 16, 2016

Oncora traveled to the NIH campus in Bethesda, MD to present research evaluating predictive models built from automatically extracted EMR data. With collaborators from Penn Medicine, Oncora compared the reliability of models employing ensemble methods against those using logistic regression.

Peer-reviewed abstract accepted for publication at the 2015 AAPM Annual Meeting

June 15, 2015

An abstract authored by Oncora and Penn Medicine was accepted for publication at the 2015 Annual Meeting of the American Association of Physicists in Medicine. The abstract demonstrated that prediction of post-radiation treatment outcomes is feasible even on a relatively small data set.