News

Fri, 2020-09-18 10:07
Interdisciplinary team wins grant to speed oral cancer testing
Friday, September 18, 2020 - 10:07

National Institutes of Health awards $420,000 to multidisciplinary team from Case Western Reserve University developing device for instantly detecting oral cancer

Mouth lesions are among the main early indicators of oral cancer, but determining whether a sore is actually malignant typically involves painful, costly biopsies.

Case Western Reserve researchers think they have a better idea—and the National Institutes of Health has given them $420,000 to advance it.

The project principal investigator is Aaron Weinberg, chair and professor in the Department of Biological Sciences in the School of Dental Medicine and professor of otolaryngology and pathology in the School of Medicine. He is joined by collaborators Umut Gurkan, the Warren E. Rupp Associate Professor at the Case School of Engineering; Anant Madabhushi, the F. Alex Nason Professor II of Biomedical Engineering and director of the Center for Computational Imaging and Personalized Diagnostics; and Rod Rezaee, associate professor in the Department of Otolaryngology at the School of Medicine and University Hospitals.

Thu, 2020-09-17 11:52
Center for Computational Imaging and Personalized Diagnostics researchers awarded patents
Thursday, September 17, 2020 - 11:52

Two patents were recently awarded to inventors from the Center for Computational Imaging and Personalized Diagnostics (CCIPD): “Predicting biochemical recurrence and metastasis with computer extracted features from nuclei of tumor and benign regions” and "Predicting prostate cancer biochemical recurrence using combined nuclear NF-KB/P65 localization and gland morphology". Congratulations to Anant Madabhushi, PhD, F. Alex Nason Professor II, biomedical engineering and Director of CCIPD; Andrew Janowczyk, PhD, Research Assistant Professor, biomedical engineering and CCIPD, Patrick Leo, PhD student in CCIPD; George Lee, PhD, alumnus of CCIPD; and collaborators Anna Gawlik and Sanjay Gupta, PhD. Read details about the patents below.

“Predicting biochemical recurrence and metastasis with computer extracted features from nuclei of tumor and benign regions”

United States Serial Number (USSN): 10,776,607, September 15th, 2020.

Inventors: Madabhushi; Anant (Shaker Heights, OH), Gawlik; Anna (St. Charles, IL), Lee; George (Parlin, NJ)

Abstract: Embodiments predict biochemical recurrence (BCR) or metastasis by accessing a set of images of a region of tissue demonstrating cancerous pathology, including a tumor region and a tumor adjacent benign (TAB) region, the set of images including a first stain type image, and a second stain type image; segmenting cellular nuclei represented in the first and second image; generating a combined feature set by extracting at least one feature from each of a tumor region and TAB region represented in the first image, and a tumor region and TAB region represented in the second image, providing the combined feature set to a machine learning classifier; receiving, from the classifier, a probability that the region of tissue will experience BCR or metastasis; and generating a classification of the region of tissue as likely to experience BCR or metastasis, or unlikely to experience BCR or metastasis.

"Predicting prostate cancer biochemical recurrence using combined nuclear NF-KB/P65 localization and gland morphology"

United States Serial Number (USSN): 10,769,783, September 8, 2020.

Inventors: Madabhushi; Anant (Shaker Heights, OH), Leo; Patrick (Honoeye Falls, NY), Janowczyk; Andrew (East Meadow, NY), Gupta; Sanjay (Mayfield Heights, OH)

Abstract: Embodiments include controlling a processor to perform operations for predicting biochemical recurrence (BCR) in prostate cancer (PCa), including accessing a first digitized pathology slide having a first stain channel of a region of tissue demonstrating PCa; accessing a second digitized pathology slide having a second, different stain channel of the region of tissue; extracting morphology features from the first stain channel; extracting stain intensity features from the second stain channel, where a stain intensity feature quantifies an amount of a molecular biomarker present in a cellular nucleus; controlling a first machine learning classifier to generate a first probability of BCR based on the morphology features; controlling a second machine learning classifier to generate a second, different probability of BCR based on the stain intensity features; computing an aggregate probability of BCR based on the first probability and the second probability; and displaying the aggregate probability.

Thu, 2020-09-17 10:20
Artificial Intelligence Initiative in Oncology Receives NCI Grant
Thursday, September 17, 2020 - 10:20

Cleveland Clinic and Case Western researchers on the forefront | September 16, 2020

Scientists and clinicians from Cleveland Clinic and Case Western Reserve University recently received a $1.15 million grant from the National Cancer Institute (NCI)’s Informatics Technology in Cancer Research (ITCR) program to develop artificial intelligence (AI) tools that assist in the differentiation of tumor recurrence versus scar tissue on postoperative MRI scans in patients with certain colorectal and brain cancers. Read the full Cleveland Clinic article here

Related press release from July 29, 2020: 

Scientists using AI to benefit cancer patients

$1.15M grant awarded to Satish Viswanath, Pallavi Tiwari and collaborators for research to pursue development and dissemination of AI-informed tools for oncologists.

Tue, 2020-09-15 10:08
Satish Viswanath one of Crain’s Cleveland “40 Under Forty”
Tuesday, September 15, 2020 - 10:08

Congratulations to Satish Viswanath, PhD, assistant professor of biomedical engineering and lead faculty in the Center for Computational Imaging and Personalized Diagnostics (CCIPD) at CWRU for making Crain's Cleveland 2020 "40 Under Forty"!