Washington University St. Louis and Vanderbilt University Healthcare, Education Business challenge Researchers at two universities sought to enhance magnetic resonance imaging (MRI) scan analysis, to enable physicians to use huge amounts of data generated effectively while keeping scan times short. Transformation Washington University St. Louis and Vanderbilt University deployed IBM® solutions to accelerate creation and deployment of deep learning models that fill in the gaps in incomplete MRI brain scans. “Combined, our research and IBM technology brings cutting-edge deep learning capabilities within reach of physicians so that they can give patients better care.” —Yong Wang, PhD, Assistant Professor of Gynecology and Obstetrics, Radiology and Biomedical Engineering at Washington University St. Louis Business benefits: 20x faster training of deep learning models than traditional PC environments Increases speed and accuracy of diagnosis, enhancing treatments and patient outcomes Lowers barriers to deep learning for physicians, addressing the big data skills gap Washington University St. Louis and Vanderbilt University Harnessing AI to transform diagnosis and treatment of brain cancer Solution components IBM Spectrum Conductor® Deep Learning Impact (now part of IBM Watson® Machine Learning Accelerator) IBM Power® Systems S822LC Client Name Washington University St. Louis and Vanderbilt University Company Background Washington University in St. Louis is a private research university with more than 15,000 students from more than 100 countries. Each year, researchers at the university undertake more than 3,000 projects in areas including medical, environmental and energy, innovation and entrepreneurial, and plant science research. The Washington University School of Medicine in St. Louis is dedicated to advancing human heath worldwide, and has contributed to many breakthroughs in science and medicine over the last century. Located in Nashville, TN, Vanderbilt University is a private research university offering undergraduate and graduate programs in the liberal arts and sciences, engineering, music, education and human development, alongside professional degrees. In 2017, the university received USD 230 million in sponsored research and project awards. The Vanderbilt University Institute of Imaging Science is a trans-institutional initiative within Vanderbilt University serving physicians, scientists, students and corporate affiliates. Business challenge Researchers at two universities sought to enhance magnetic resonance imaging (MRI) scan analysis, to enable physicians to use huge amounts of data generated effectively while keeping scan times short. The benefit Trains deep learning models 20 times faster than traditional PC environments, enhancing patient outcomes through accurate, fast diagnosis. Provides physicians with an entry point to deep learning. Pull Quote “Combined, our research and IBM technology brings cutting-edge deep learning capabilities within reach of physicians so that they can give patients better care.” —Yong Wang, PhD, Assistant Professor of Gynecology and Obstetrics, Radiology and Biomedical Engineering at Washington University St. Louis Solution components IBM Spectrum Conductor® Deep Learning Impact (now part of IBM Watson® Machine Learning Accelerator) IBM Power® Systems S822LC Case study Link https://www.ibm.com/common/ssi/cgi-bin/ssialias?htmlfid=72024172USEN Share this Washington University in St. Louis is a private research university with more than 15,000 students from more than 100 countries. Located in Nashville, TN, Vanderbilt University is a private research university offering undergraduate and graduate programs in the liberal arts and sciences, engineering, music, education and human development.