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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Latest News:

Wed, 2021-01-20 15:38

In an article titled, “Case Researchers Studying AI Use In Targeting Cancer Treatment,” author Anna Huntsman interviews CCIPD Director, Anant Madabhushi, PhD, about his work in precision medicine and recently-launched research agreement with the pharmaceutical company Boehringer Ingelheim. This collaboration will explore uses of AI to better identify therapies that are more likely to work for a specific patient. 
Read more about this partnership in our previously published article...

Wed, 2021-01-20 15:25

In a January 6th interview with Bio Patrika, Rakesh Shiradkar, PhD, discusses his vision, goals, and current projects with the Center for Computational Imaging and Personalized Diagnostics. Shiradkar further discusses the impact the center’s research is having on society and what personalized diagnostics means to him. Read the full interview on Bio Patrika’s website 

Wed, 2021-01-20 15:14

CCIPD researchers have preliminarily validated the AI tool “RadClip” which reads MRI scans and helps the clinician “to evaluate the aggressiveness of the cancer and the response to treatment so they don’t overtreat or undertreat the patient”, says Lin Li, a doctoral student and member of the CCIPD team. Li was the first author of the study that evaluated the tool, which was published in The Lancet’s EBioMedicine journal. 
Read the full press release...

Wed, 2021-01-06 17:30

In an article titled, “Artificial intelligence's role in pandemic resource management,” Anant Madabhushi, PhD, discusses how AI can be used to efficiently allocate healthcare resources by predicting response to treatment for COVID-19 patients. Applying AI in the risk stratification of patients could help to better allocate ICU capacity, ventilators, and other healthcare resources for the patients who need them most. 
Read the full article here on the...

Wed, 2021-01-06 17:00

A 5-year, $3.3M grant from the National Cancer Institute supports an international project using Artificial Intelligence (AI) to identify cancer and immune cells on digitized images of oral squamous cell carcinoma tissue slides and then recognize spatial patterns among those cells. This will help doctors to gain a better understanding of what types of procedures would work best for the patient, with the hope of improving oral squamous cell carcinomas cancer outcomes. 
The project is spearheaded by Anant Madabhushi, PhD, Donnell Institute Professor of Biomedical Engineering, and...