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

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Oncora and MD Anderson abstract accepted as Oral presentation at the 2019 ASCO Quality Care Symposium and receives Conquer Cancer Merit Award

Aug. 1, 2019

The department of Radiation Oncology at MD Anderson and Oncora abstract accepted as oral presentation at the 2019 ASCO Quality of Care Symposium in San Diego, CA. In addition to …

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

July 29, 2019

Holmes A, Ahern C, Berlind C, Smith B, Edwards T, Lindsay W, McGovern S

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 …

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Applications of AI to Real World Data in Radiation Oncology

July 25, 2019

Ahern C

Oncora data science team 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 …

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

June 1, 2019

Reddy J, Lindsay W, Berlind C, Ahern C, Holmes A, Smith B, Phan J, Frank S, Gunn G, Rosenthal D, Morrison W, Farden A, Fuller C

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 …

Medical Physics
Automated data extraction and ensemble methods for predictive modeling of breast cancer outcomes after radiation therapy

Nov. 30, 2018

William D. Lindsay, Christopher A. Ahern, Jacob S. Tobias, Christopher G. Berlind, Chidambaram Chinniah, Peter E. Gabriel, James C. Gee, Charles B. Simone

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

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

Oct. 2, 2018

Thompson RF, Valdes G, Fuller C, Carpente C, Morin O, Aneja S, William L, Aerts H, Agrimson B, Deville C, Rosenthal S, Yu JB, Thomas CJ

Industry leaders from Yale, MD Anderson, OHSU, UCSF and Oncora consider implications of AI in radiation oncology for patients, providers, and the entire healthcare system.

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Applying a machine learning approach to predict acute toxicities during radiation for breast cancer patients

Oct. 1, 2018

Reddy J, Lindsay W, Berlind C, Ahern C, Smith B

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 …

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Implementing an electronic data capture system to improve clinical workflow in a large academic radiation oncology practice

Oct. 1, 2018

Pasalic D, Reddy J, Edwards T, Pan H, Smith B

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 …

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

June 30, 2018

Pasalic D, Edwards T, Pan H, Herman J, Smith B

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 …

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Evaluating linearity of risk functions across radiotherapy outcomes using deep learning

May 2, 2018

Ahern C, Pheiffer T, Berlind C, Lindsay W, Xiao Y, Simone CB

Oncora will present a second abstract at the 2018 annual AAPM conference, exploring radiotherapy outcomes using deep learning. This research was done in collaboration with the University of Pennsylvania and …

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Identifying predictors of unplanned hospitalizations after radiation therapy using regularized survival models

May 1, 2018

Ahern C, Pheiffer T, Berlind C, Lindsay W, Xiao Y, Simone CB

Oncora will travel to Nashville, TN to present two accepted abstracts at the annual AAPM conference! The first abstract explored predictors of unplanned hospitalizations after radiotherapy.

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Facility volume and postoperative outcomes for malignant pleural mesothelioma: A national cancer data base analysis

March 20, 2018

Verma V, Ahern C, Berlind C, Lindsay W, Grover S, Culligan J, Friedberg J, Simone CB

Accepted in Lung Cancer journal, Oncora's research discusses the postoperative outcomes and overall survival for malignant pleural mesothelioma by facility volume...

journal of thoracic oncology
National cancer database report on pneumonectomy versus lung-sparing surgery for malignant pleural mesothelioma

Nov. 1, 2017

Vivek V, Ahern C, Berlind C, Lindsay W, Sharma S, Shabason J, Culligan M, Grover S, Friedberg J, Simone CB

Oncora manuscript accepted in Journal of Thoracic Oncology focusing on Pneumonectomy versus Lung-Sparing Surgery for Malignant Pleural Mesothelioma...

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Quantifying the potential impact of predictive analytics in radiation oncology

Sept. 24, 2017

Lindsay W, Berlind C, Ahern C, Gabriel P, Simone CB

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...

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The relative impact of clinical variables on radiotherapy outcome predictions

July 31, 2017

Ahern C, Berlind C, Lindsay W, Gabriel P, Simone CB

Oncora Medical traveled to Denver, CO to present a second accepted abstract at the annual American Association of Physicists in Medicine, exploring which clinical variables contribute the most to the …

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Cross-decomposition methods for learning clinically relevant measures of patient similarity in oncology

July 30, 2017

Berlind C, Ahern C, Lindsay W, Gabriel P, Simone CB

Oncora Medical traveled to Denver, CO to present one of two accepted abstracts at the annual American Association of Physicists in Medicine, exploring which clinical variables contribute the most to …

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

June 30, 2017

Pan H, Mazur L, Martin N, Mayo C, Santanem L, Pawlicki T, Marks L, Smith B

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 …

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A single treatment site agnostic model to predict adverse events after radiation therapy

Sept. 28, 2016

Lindsay W, Berlind C, Simone CB

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 …

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Automated data extraction and ensemble methods for predictive modeling of breast cancer outcomes after radiation therapy

June 16, 2016

Lindsay W, Tobias J, Berlind C, Chidambaram C, Gabriel P, Gee J, Simone C

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 …

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Predictive modeling of mortality, tumor control, and normal tissue complications after sterotactic body radiotherapy for stage I non-small cell lung cancer

June 15, 2015

Lindsay W, Berlind C, Gee JC, Simone CB

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 …