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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Tue, 2021-05-04 17:44

Dr. Pallavi Tiwari talks about her work fighting brain tumors, her Johnson & Johnson WiSTEM2D Award, and her vision for the technologies she and her team at CCIPD are developing in the Forbes interview, “How One Scientist Fights Brain Tumors Every Day”, written by Jill Griffin.

Dr. Tiwari is an Assistant Professor of Biomedical Engineering and the Director of Brain Image Computing (BrIC) laboratory at Case Western Reserve...

Sun, 2021-05-02 15:37

In the Crain’s Cleveland Business article, “CWRU, University Hospitals are part of a $3 million grant project on lung cancer, immunotherapy”, writer Rachel Abbey McCafferty highlights CCIPD’s role in this research, which will develop AI tools to help predict response to immunotherapy for lung cancer patients.

Read more on Crain’s Cleveland Business website

Sun, 2021-05-02 15:36

Please join us for a virtual Machine Learning Working Group Meeting on May 10th, from 11am-12pm EST. Amber Simpson, PhD, Associate Professor / Canada Research Chair (Tier 2) in Biomedical Computing and Informatics at Queen's University, presents, “Solving fundamental cancer problems with artificial intelligence”.
Precision medicine is an approach to patient care that considers individual differences in a patient’s genetic and molecular makeup to predict disease progression and optimize treatment response – and one of the...

Thu, 2021-04-22 17:55

In a dev.Count tech blog article titled, “80 Interesting Artificial Intelligence & Machine Learning Predictions For 2021”, Dr. Anant Madabhushi predicts, “2021 will also likely see more innovation in non-black-box (interpretable AI) technologies in order to make them more amenable for use by clinicians and physicians.”
“More innovation will continue in the use of AI not just for diagnosis of disease, but also for predicting patient outcome and predicting and monitoring therapeutic response to specific drugs like chemotherapy and checkpoint inhibitors...

Wed, 2021-04-21 19:14

CCIPD Director Anant Madabhushi, PhD, wrote a piece that was published on April 19th in Crain’s Cleveland Business. The opinion piece, “Personal View: Cleveland is poised to become the mecca for AI in medicine”, discusses how Cleveland's affordability, strong medical infrastructure, and numerous centers focused on Artificial Intelligence make it a strong candidate for becoming a powerhouse for AI in medicine. 

Read the full article here.