On April 1st, Dr. Corey Arnold will be giving a guest lecture titled “Computational Disease Phenotyping using Machine Learning”. Dr. Arnold is the Director of the Computational Diagnostics lab and Associate Professor of Radiology, Pathology & Laboratory Medicine, Bioengineering, Bioinformatics, and Electrical & Computer Engineering at UCLA. He received his PhD in Information Science from UCLA in 2009 and his BS degree in Bioengineering/Computer Science from the University of Wisconsin in 2002. His research investigates the application of machine learning techniques in medicine to derive more precise and quantifiable characterizations of disease to support diagnosis, progression assessment, and treatment selection.
The lecture will focus on the research Dr. Arnold does in the UCLA Computational Diagnostics lab. This lab investigates data driven methods for extracting discriminative signals from healthcare data. Our work incorporates imaging, pathology, and clinical data in machine learning and deep learning frameworks, with an emphasis on multi-modality data fusion. Current application areas include stroke characterization, prostate cancer detection, and heart failure exacerbation prediction.
For more information on the lecture, use this link: https://radiology.wisc.edu/lectures/