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

Moerner_8534

Nobel Laureate - William 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

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.

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.