Regenstrief leaders to deliver keynote addresses at data workshop in South America

Two of Regenstrief Institute’s leaders are sharing their expertise in artificial intelligence and data infrastructure at a workshop hosted by Brazil’s National Institute of Science and Technology in Scientific Assisted Medicine in Sao Paulo, Brazil.

Regenstrief’s Vice President for Research, Eneida Mendonca, M.D., PhD, will speak Thursday, Oct. 17 and Friday, Oct. 18, about the current research landscape around artificial intelligence in natural language processing. Dr. Mendonca is a pioneer in employing natural language processing to improve health and healthcare delivery. Her research focuses on language-driven approaches to support decision making, exploiting semantic methods to extract data from patients records, and improving infrastructure for research.

Umberto Tachinardi, M.D., Regenstrief Institute’s chief information officer, will discuss the challenges in building data infrastructure to support precision medicine and learning health systems. Dr. Tachinardi has successfully developed and implemented health informatics technologies in organizations of all sizes. Before coming to Regenstrief, he was responsible for building and operating University of Wisconsin Health’s translational research resources, which included data warehouses and new functions in the electronic health record systems.

The workshop is aimed at researchers, teachers and students interested in discussing aspects of data modeling, simulation, visualization and analysis and machine learning.

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The workshop organizer, the National Institute of Science and Technology in Scientific Assisted Medicine, was created by the Brazilian government to conduct research and development in computer science and its applications in medicine. It consists of 31 associate laboratories, 14 of which are based in seven different countries, including the United States. Drs. Mendonca and Tachinardi are originally from Brazil and have conducted research through the National Institute of Science and Technology in Scientific Assisted Medicine.