Symposium on AI for Biomedical Imaging Across Scales

Biomedical Imaging is quintessential in disease understanding. Its ubiquity is evident across imaging scales ranging from cellular and microscopy imaging for molecular/biological mechanisms, pathology imaging for tissue-level analysis, radiological imaging for within body diseases diagnosis to optical imaging for more phenotypical symptoms. Biomedical imaging is also at an inflection point, where advances in artificial intelligence could be used to integrate our understanding of disease states through individual lenses of clinical, biological, radiological, and pathological perspectives to form a more holistic understanding of the disease for improved diagnostics.

Keynote Speakers


Nobel Laureate - W.E. Moerner

William Esco Moerner is an American physical chemist and chemical physicist with current work in the biophysics and AI for imaging of single molecules. He is credited with achieving the first optical detection and spectroscopy of a single molecule in condensed phases, along with his postdoc, Lothar Kador. Prof. Moerner won the Nobel Prize in Chemistry in 2014 for the development of super-resolved fluorescence microscopy.


Geraldine B. McGinty

Geraldine McGinty M.D., MBA, FACR, is an American physician. She is currently Chair of the American College of Radiology Board of Chancellors. She is the first woman to hold this post. Previously, she served as Chair of the American College of Radiology Commission on Economics.


Anant Madabushi

Anant Madabhushi is the F. Alex Nason professor II of biomedical engineering at Case Western Reserve University in Cleveland and director of the university’s Center for Computational Imaging and Personalized Diagnostics (CCIPD). Dr. Madabhushi's team has developed pioneering computer aided diagnosis, pattern recognition, image analysis tools for diagnosis and prognosis of different types of cancers (prostate, breast, medulloblastoma, oropharyngeal) based on quantitative and computerized histomorphometric image analysis of digitized histologic biopsy tissue specimens as well as from radiographic scans such as MRI and CT images. Madabhushi has nearly 100 patents either issued or pending in the areas of medical image analysis, computer-aided diagnosis, and computer vision and over 350 peer-reviewed journal articles and conference papers. In 2019 Nature Magazine called him out as one of 5 scientists pursuing truly offbeat and innovative approaches in cancer research. In September 2019, Madabhushi was named to The Pathologist's Power List 2019, a list of 100 most inspiring professionals in pathology and laboratory.

To explore issues of imaging state-of-the-art, use of artificial intelligence in healthcare, and diagnostic needs by practitioners, a symposium is being organized on February 4-5, 2020, at IBM Almaden Research Lab located at 650 Harry Road, San Jose, CA 95120.

The symposium aims to bring together researchers, practitioners, and industrial partners to explore the role of artificial intelligence in understanding the mechanisms of diseases such as cancer, cardiovascular and metabolic diseases across imaging scales. In doing so, the long-term goal is to advance our understanding of disease by integrating the learning across the scale and time from molecular, cellular, tissue level (pathological), radiological, and optical image analysis. The symposium will feature talks from renowned scientists, clinicians and industrial partners covering the latest advancements in the use of AI for imaging across scales for disease understanding. The symposium will also feature other talks and demos by researchers in academia & industry including a startup showcase.

Further details will be forthcoming soon.