12/01/2023
A newly discovered biomarker (identified by researchers representing Emory University, Cleveland Clinic, NYU Langone Health), which can be calculated by an artificial intelligence algorithm from a routine CT scan, could one day make the process of identifying the right therapies and predicting how lung cancer patients respond to immunotherapy much more efficient. Too often, searching for the right cancer treatment is a guess-and-check process, as doctors move through a list of costly therapies that may or may not work until they find one that does. The biomarker (dubbed Quantitative Vessel Tortuosity, or QVT), could help doctors offer potentially more effective cancer treatments. The technology was able to predict treatment response with an improved average Area Under the Curve (AUC) across three test sets. Although the QVT biomarker and its AI calculator still need to be further developed and validated in clinical trials, the preliminary results suggest the technology could be a “game-changer,” according to the first author of the study, Mohammadhadi Khorrami, Ph.D., and postdoctoral fellow in the joint biomedical engineering department.
https://lnkd.in/eRGj7W8v
Too often, searching for the right cancer treatment is a guess-and-check process, as doctors move through a list of costly therapies that may or may not work until they find one that sticks. | A newly discovered biomarker that can be calculated by an artificial intelligence algorithm from a routine....
