Anant Madabhushi, professor of biomedical engineering and director of the Center for Computational Imaging and Personalized Diagnostics, was recently awarded U.S. patent: 9,286,672, titled “Integrated, multivariate histologic image-based method for disease outcome prediction.”
U.S. patent 9,286,672 relates to a system and method for predicting disease outcome using a multi-field-of-view approach based on image-features from multi-parametric heterogeneous images.
One example of the application of this technology is in capturing image patterns with standard H&E and vascular stained breast cancer images and combining the patterns from both sets of images to predict disease outcome in estrogen receptor positive breast cancers.
The cancer diagnostics company Inspirata Inc., which is based in Tampa, Florida, has licensed the technology. Ajay Basavanhally, a research scientist at Inspirata, is a co-inventor on this technology.
Madabhushi is working with the Inspirata team to translate this technology for use in the clinic for predicting appropriate therapy for breast cancer patients.