Revolutionizing Healthcare Through Technology
The South Dakota Biomedical Computation Collaborative (SDBCC) is transforming medical education and biomedical sciences through the integration of computational and artificial intelligence (AI) tools. With grant funding from the U.S. Department of Education and additional support from the South Dakota Board of Regents, this initiative strengthens health care in South Dakota by enhancing clinical practice, research and education.
Partnership
SDBCC is a joint initiative between the University of South Dakota, Sanford School of Medicine, and South Dakota School of Mines and Technology, combining expertise in biomedical sciences, computer science and engineering. This partnership is advancing AI-driven medical research and innovation, while also developing specialized graduate programs in biomedical computing. The establishment of a regional biomedical computation network will further support health care providers and academic institutions, ensuring the integration of computational tools into medical practice.
History
SDBCC was established through a collaboration between the University of South Dakota, Sanford School of Medicine and South Dakota School of Mines and Technology, with the goal of integrating AI and computational tools into biomedical sciences. The initiative received $6.5 million in congressionally directed funding, secured by Sen. Mike Rounds, and an additional $750,000 in seed funding from the South Dakota Board of Regents. By developing cutting-edge computational and AI-based solutions, SDBCC is driving innovation in medical research, education and clinical practice.
Research & Development
Through graduate programs, fellowships, and faculty recruitment, SDBCC is building a robust academic framework that integrates AI into biomedical sciences. A specialized graduate program in biomedical computing is being developed, alongside AI-driven disease modeling and simulation to improve clinical practice. The collaborative research component of this initiative includes partnerships with institutions such as Harvard and MIT, which will enhance medical AI applications. Additionally, a core facility dedicated to biomedical computation research is being established to support ongoing advancements.