Machine Learning Working Group virtual meeting, June 14, 11am-12pm ET

Wednesday, June 9, 2021 - 08:32

Please join us for a virtual Machine Learning Working Group Meeting on June 14th, from 11am-12pm EST. Kayhan Batmanghelich, PhD, from the Department of Biomedical Informatics, University of Pittsburgh, will be presenting, “Incorporating Medical Insight into Machine Learning Algorithms for Learning, Inference, and Model Explanation”.


Abstract: The healthcare industry is arriving at a new era where the medical communities increasingly employ computational medicine and machine learning. Despite significant progress in the modern machine learning literature, adopting the new approaches has been slow in the biomedical and clinical research communities due to the lack of explainability and limited data. Such challenges present new opportunities to develop novel methods that address AI's unique challenges in medicine.  

In this talk, we show examples of incorporating medical insight to improve the statistical power of association between various data modalities, design a novel self-supervised learning algorithm, and develop a context-specific model explainer. This general strategy can be employed to integrate other biomedical data, an exciting future research direction discussed briefly.


The Center for Computational Imaging and Personalized Diagnostics has partnered with the Case Comprehensive Cancer Center to host the Machine Learning Working Group. Meetings are held with the express goal of leveraging the extensive Artificial Intelligence expertise concentrated across our partner institutions including Case Western Reserve University, University Hospitals, the Cleveland VA Medical Center, MetroHealth, and the Cleveland Clinic and beyond. Through facilitating interaction of basic and clinical researchers we hope to strengthen the scientific merit of presented studies as well as identify novel collaborative opportunities. 


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