Mount Sinai Establishes Pathology Center with Focus on Machine Learning Healthcare Informatics Magazine Health IT

Mount Sinai's Department of Pathology at the Icahn School of Medicine has established the Center for Computational and Systems Pathology, with the goal to more accurately classify diseases and guide treatment using computer vision and machine learning techniques. Mount Sinai officials say the New York-based center will look to "revolutionize pathology practice, using advanced computer science and mathematical techniques coupled with cutting-edge microscope technology and artificial intelligence." The Center for Computational and Systems Pathology will be a hub for the development of new diagnostic, predictive, and prognostic tests and will partner with Mount Sinai-based "Precise Medical Diagnostics" (Precise MDTM), which has been under development for more than three years by a team of physicians, scientists, mathematicians, engineers, and programmers. Mount Sinai's Department of Pathology processes more than 80 million tests a year, making it the largest department of its kind in the country, its officials said. Meanwhile, Precise MD is developing new approaches to characterizing an individual's cancer by combining multiple data sources and analyzing them with mathematical algorithms, offering an alternative to standard approaches.