The Center of Computational Imaging and Personalized Diagnostics (CCIPD) at Case Western Reserve University is involved in various different aspects of developing, evaluating and applying novel quantitative image analysis, computer vision, signal processing, segmentation, multi-modal co-registration tools, pattern recognition, and machine learning tools for disease diagnosis, prognosis, and theragnosis in the context of breast, prostate, head and neck, and brain tumors as well as epilepsy and carotid plaque. Our group is also exploring the utility of these methods in studying correlations of disease markers across multiple scales, modalities, and functionalities -- from gene and protein expression to spectroscopy to digital pathology and to multi-parametric MRI.


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Mon, 2021-02-08 13:52

On February 8, 2021 7PM - 8PM EST, Science Café Cleveland will be hosting a talk with Anant Madabhushi, PhD on how radiomic and pathomic approaches can be applied to predicting disease outcome, recurrence, progression, and response to therapy in the context of various different cancers. The talk will be done virtually through zoom. Learn more about this free event here.

Mon, 2021-02-08 13:46

On January 26th, two patents were awarded to inventors from the Center for Computational Imaging and Personalized Diagnostics (CCIPD) and their collaborators: “Predicting pathological complete response to neoadjuvant chemotherapy from baseline breast dynamic contrast enhanced magnetic resonance imaging (DCE-MRI)” and “Predicting response to immunotherapy using computer extracted features relating to spatial arrangement of tumor infiltrating lymphocytes in non-small cell lung cancer”. Congratulations to Anant Madabhushi, PhD, Donnell Institute Professor,...

Mon, 2021-02-08 13:37

In the Lifewire article, “How AI Could Personalize Medicine for You”, author Sascha Brodsky quotes Anant Madabhushi, PhD, the Donnell Institute Professor of Biomedical Engineering and director of the Center for Computational Imaging and Personalized Diagnostics on the future of AI-created precision medicine. Madabhushi comments, "We are probably 3-5 years out to get a real sense of the AI successes and the red herrings, mostly because any discoveries made by AI have to first go...

Mon, 2021-02-08 13:27

For the third year in a row, a paper co-authored by the Center for Computational Imaging and Personalized Diagnostics researchers has been included in the annual Research Highlights of the Epidemiology and Genomics Research Program (EGRP). The paper, Computationally Derived Image Signature of Stromal Morphology Is Prognostic of Prostate Cancer Recurrence Following Prostatectomy in African American Patients, was written in collaboration with researchers at the University of California Berkeley, Case Western Reserve University, Louis...

Fri, 2021-02-05 19:37
1.Histomorphometric Classifier to Predict Cardiac Failure from Whole Slide Hematoxylin and ...