Thu, 2019-09-12 20:52
Patent issued to CCIPD
Thursday, September 12, 2019 - 20:52

Patent US 10,398,399 entitled "Decision support for disease characterization and treatment response with disease and peri-disease radiomics" issued to the Center for Computational Imaging and Personalized Diagnostics (CCIPD) at Case Western Reserve University and collaborators from University Hospitals.

The invention describes the methods, apparatus, and other embodiments associated with classifying a region of tissue using textural analysis are described. One example apparatus includes an, a delineation logic that distinguishes nodule tissue within the image from the background of the image, a perinodular zone logic that defines a perinodular zone based on the nodule, a feature extraction logic that extracts a set of features from the image, a probability logic that computes a probability that the nodule is benign or that the nodule will respond to a treatment, and a classification logic that classifies the nodule tissue based, at least in part, on the set of features or the probability. A prognosis or treatment plan may be provided based on the classification of the image.

Inventors include Mahdi Oroji, Mirabela Rusu, Robert Gilkeson, Philip Linden, Nathaniel Braman and Anant Madabhushi

Peritumoral radiomics of breast cancer patients can identify patients who will achieve a full response to chemotherapy (left), known as pathological complete response (pCR), versus those who will not (right).

Fri, 2019-08-30 18:07
Anant Madabhushi named to The Pathologist's Power List 2019
Friday, August 30, 2019 - 18:07

Anant Madabhushi, PhD, the F. Alex Nason Professor II of Biomedical Engineering and Director of the Center for Computational Imaging and Personalized Diagnostics, has been named to The Pathologist's Power List 2019. This list highlights the 100 most inspiring professionals in the many fields of pathology and laboratory medicine.

Fri, 2019-08-30 17:57
RSNA/AAPM Symposium Addresses Integrated Diagnostics at RSNA 2019
Friday, August 30, 2019 - 17:57

RSNA session will focus on the integration of radiology, pathology and genomics in cancer diagnosis and care

Anant Madabhushi, PhD, will discuss how the development of knowledge in artificial intelligence (AI) and data science has created opportunities to extract and combine information from imaging, pathology, laboratory medicine and genomics during his presentation, “Radio-Patho-Genomics: Computationally Integrated Disease Specific Features Across Scales.”

Thu, 2019-08-22 19:30
When the Current Serves
Thursday, August 22, 2019 - 19:30

The Pathologist's Luke Turner sat down with Anant Madabhushi to learn about Madabhushi's path to and passion for digital and computational pathology. Read their interview here.