Applications of AI to Real World Data in Radiation Oncology

Posted by Oncora Research Team

Oncora traveled to the NIH campus in Bethesda, MD to discuss applications of AI to real world data in radiation oncology alongside leaders from MD Anderson, Penn Medicine, John Hopkins and Yale Medicine. The workshop brought together physician and data science leaders in radiation oncology to discuss the current issues and opportunities around the state of data science in radiation oncology today.

Oncora data scientist, Dr. Chris Ahern shared how Oncora is striving to improve outcomes for cancer patients by developing intuitive software tools better collect, learn and intervene with real world data. Chris suggested, "we need good data for good data science!" Collecting structured radiation oncology data at the point of care, and unifying with existing record sources (EMR, TPS, OIS etc.), powers physicians, researchers and data scientists to perform better research towards improved care.


Highlighting a study completed in collaboration with MD Anderson, (read about that here), Chris gave an example of Oncora's AI technology accomplishing precision medicine by accurately predicting acute toxicities during radiation treatment for breast cancer patients.

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From left to right: Chris Ahern, PhD (Oncora Medical), Ying Xiao, PhD (University of Pennsylvania), Todd McNutt, PhD (Johns Hopkins Medicine), Nadine Housri, MD (Yale School of Medicine) and Clifton Fuller, MD, PhD, (MD Anderson Cancer Center)

More coverage here!

Full agenda and topics covered at the 2019 NCI's State of Data Science in Radiation Oncology here!