Artificial intelligence (AI) and a variety of other powerful technologies are paving the way for a new era of biomedical research, offering unparalleled opportunities to improve human health. The Artificial Intelligence and Emerging Technologies in Medicine multidisciplinary training area of the PhD in Biomedical Sciences program offers students with solid quantitative and technical backgrounds educational and research opportunities in AI/machine learning, next generation medical technologies (medical devices, sensors, robotics, etc.), imaging, nanotechnology, information technology, and virtual/augmented reality simulation technologies for clinical applications or drug discovery.

In addition to receiving foundational education in the use of information systems, students enrolled in the AI and Emerging Technologies in Medicine training area will learn how to develop and interpret predictive diagnostic and therapeutic models using a variety of machine learning tools based on statistics and probability theory, drawing upon quantitative fields such as computer science, mathematics, theoretical physics, theoretical/computational chemistry, and digital engineering.

The training area further leverages existing relationships with several well-regarded higher education institutions (State University of New York at Stony Brook; Rensselaer Polytechnic Institute; the Grove School of Engineering at the City College of New York; Albert Nerken School of Engineering-The Cooper Union; and the Hasso Plattner Institute of the University of Potsdam in Germany) to offer complementary technical expertise to expand collaborative research and enrichment opportunities for trainees and faculty.