Sports Analytics Model Adapted to Improve Cancer Outcome Prediction

Skip to full article text.


Ash Alizadeh, Maximilian Diehn, and their team have developed and tested a new dynamic method for predicting cancer patient outcomes, called Continuous Individualized Risk Index (CIRI), which is modeled after algorithms used for outcome prediction in sports and politics. They have determined that CIRI is more accurate than current predictive methods in both blood cancers and solid tumors. The information that CIRI provides could not only provide a better prediction of patient outcomes but could also provide physicians with insight into the particular type of therapy most likely to be successful in individual patients, leading to better outcomes. This Spotlight outlines the particulars of this new method, how it was tested, and how it will potentially impact the quality of care for a broad range of cancer patients. Read more...


Click here to explore other articles on the LLS Research Spotlight.