Wed, 2021-05-12 18:34
Bringing medical AI closer to reality
Wednesday, May 12, 2021 - 18:34

Case Western Reserve University scientists show that artificial intelligence tools can work effectively for different locations, populations

For artificial intelligence (AI) to realize its full potential to benefit cancer patients, researchers will have to prove that their machine-learning successes can be consistently reproduced across settings and patient populations.

Read the full press release on CWRU's The Daily.

Tue, 2021-05-04 17:44
Dr. Pallavi Tiwari featured in Forbes interview
Tuesday, May 4, 2021 - 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 University. She is a lead faculty member of the Center for Computational Imaging and Personalized Diagnostics.

Sun, 2021-05-02 15:37
“CWRU, University Hospitals are part of a $3 million grant project on lung cancer, immunotherapy”
Sunday, May 2, 2021 - 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
Machine Learning Working Group virtual meeting, May 10, 11am-12pm ET
Sunday, May 2, 2021 - 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 greatest opportunities, and challenges, in modern cancer care. There is currently no known method to predict the metastatic potential of any cancer at early stages. We propose to address this critical barrier by creating a cancer digital twin, a digital replica of a cancer patient using state-of-the-art artificial intelligence (AI) techniques applied to 900,000 abdominal CT scans from a high-volume cancer center. Predicting metastatic progression at early stages would radically transform our approach to cancer treatment, but promises substantial implications for patients and society that must be considered. For example, would you want to know a dismal prognosis predicted by your digital twin? How would you act on this information – would you regard the choice as yours, or your fate as given by your twin? In a world where AI is increasingly biased, how do we ensure that AI doesn’t create further inequities? Dr. Simpson will present new work on the development of a cancer twin for predicting metastatic progression as well as provide some discussion of the social ramifications of such technology.

If you would like to attend this month’s session, please reach out to James Hale -