PATHOLOGY VISIONS 2014 PRESENTER
Abstract: With ongoing succession of advances in computational platforms and algorithmic design, deployment of real-world image search and content-based image retrieval solutions as applied to histopathology is nearing the point of clinical feasibility. This program will provide an updated survey of this rapidly evolving area, with an emphasis on clinical workflow solutions that are most likely to first become available.
Biography: Dr. Balis currently serves as the director of the Division of Pathology Informatics at the Department of Pathology, within the University of Michigan Health System. This division is noteworthy for being one of the few such academic information technology divisions operating in support of pathology while being housed wholly within the pathology department itself. He has active, NIH R01-supported research initiatives in several areas of pathology and medical informatics, including machine learning and use of encoded data, image-based analytics, machine vision tools for histopathology, image-based search algorithms and federated enterprise data architectures, with all of these areas serving as rich training substrate for a growing and thriving pathology informatics fellowshipone of only five such programs in the U.S. Dr. Balis has had a longstanding interest in pathology informatics education, and currently serves as a standing member on the Clinical Informatics Subspecialty Boards Exam Committee. Additionally, Dr Balis has been a founding member of several successful biotechnology startup ventures, with the most recent effort, Verinata Health (formerly LivingMicrosystems, now Illumina, Inc.), resulting in the creation of clinically-validated tests for the diagnosis of fetal genetic defects by use of maternal blood samples alone.