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Innovations in Imaging

In The News

A patient diagnosed with the aggressive brain tumor glioblastoma typically has only 15 months to live. The grim prognosis can lead to multiple surgeries to remove and then test suspected tumors. But what if clinicians could determine whether a suspicious tumor is benign or malignant without putting patients under the knife?

In an episode of the podcast “AI-ready Healthcare”, podcast host Anirban Mukhopadhyay,  interviewed Anant Madabhushi, PhD, on the topic of translation from AI research to clinical oncology. The podcast can be found on Apple Podcasts.

On November 17, 2021, Ziwei Liu successfully defended his Master’s Thesis titled, “Radiomics characterization of the rectal environment on MRI after chemoradiation to accurately evaluate pathologic response outcomes in rectal cancer”.

Case Western Reserve-led team to test artificial intelligence medical imaging to determine which rectal cancer patients need surgery—or can avoid it

Over the past year and a half, our hospitals, overwhelmed by COVID-19 patients desperate for oxygen, have been debilitated by staff and resource shortages. While many called for vaccines as a hopeful cure-all, some recognized a faster alternative: efficient and deliberate distribution of hospital resources.

“Novel, Robust Radiomic Approaches for Predicting Outcome and Response in Lung Cancers”

On November 19, 2021, Vincent Dong successfully defended his Master’s Thesis titled, “Evaluating the utility of deep learning for predicting therapeutic response for diabetic retinopathy”.

Congratulations to CCIPD’s Executive Director Katherine Gullett for being selected as a Veale Entrepreneurship Fellow.

NANS Lifetime Achievement Award is intended to recognize an individual who has made significant and lasting contributions to the field of neuromodulation over the course of their career. 

Developments in artificial intelligence are opening up new possibilities in radiology. The advancements help doctors conduct more accurate diagnoses and predict patient outcomes. 

Machine-learning algorithms can guide humans toward new experiments and theories

CCIPD co-authors Avani Muchhala, Prathyush Chirra, and Katelin Amann received the Presidential Poster Award at the 2021 American College of Gastroenterology Annual Scientific Meeting & Postgraduate Course

Case Western Reserve University lab reports 84% accuracy in predicting from initial chest scan which patients will need breathing help; planning website for UH, Cleveland VA physicians to upload scans

On July 6, 2021 and Aug 31, 2021, patents titled “Predicting response to immunotherapy using computer extracted features of cancer nuclei from hematoxylin and eosin (HandE) stained images of non-small cell lung cancer (NSCLC)” and “Sequential integration of adversarial networks with handcrafted features (SANwicH): identifying sites of prognostic significance for predicting cancer recurrence” were awarded to CCIPD.

Scientists in Anant Madabhushi’s computational imaging lab confirm role of collagen structure in tissue for predicting aggressiveness of tumors, recurrence of cancer

National Institutes of Health funds research consortium led by Case Western Reserve University, Cleveland Clinic

Personal View: Tackling racial health disparities with artificial Intelligence

Based on data from the U.S. Patent and Trademark Office (USPTO), the compilation shows that CWRU secured 105 patents in calendar year 2020—more than double the number it earned in 2016.

A study evaluating the utility of novel imaging biomarkers (radiomics) to distinguish patients with stage 3 NSCLC may be able to predict who will benefit from treatment from those likely to progress despite therapy. 

Cleveland’s startup community becomes more vibrant every year, as evidenced by the variety and ingenuity of the entrepreneurs in our list of 54.