Anant Madabhushi, professor of biomedical engineering and director of the Center for Computational Imaging and Personalized Diagnostics, has been awarded U.S. patent 9002092, titled “Image-based risk score—A prognostic predictor of survival and outcome from digital histopathology.”
The invention relates to an image-based computer-aided prognosis (CAP) system and method that seeks to replicate the prognostic power of molecular assays in histopathology and pathological processes, including but not limited to cancer. Using only tissue slide samples, a mechanism for digital slide scanning and a computer, the invention relates to an image-based CAP system and method that aims to overcome many of the drawbacks associated with prognostic molecular assays (e.g. Oncotype DX) including the high cost associated with the assay, limited laboratory facilities with specialized equipment and length of time between biopsy and prognostic prediction.
Co-inventors include Ajay Basavanhally, scientist at Inspirata Inc., and Shridar Ganesan, medical oncologist and associate director for translational science at Cancer Institute of New Jersey.