Following a competitive process and an independent external panel evaluation, the SC EPSCOR State Committee wishes to announce the project to be submitted in 2022 to the NSF Track-1 Research Infrastructure Improvement program.
ADAPT in SC: AI-Enabled Advancement in Personalized Biomedical Devices submitted by Clemson University was identified as the top Research Infrastructure Improvement Track-1 pre-proposal submitted in response to SC EPSCoR Solicitation 12-2020. Dr. Bruce Gao (Clemson University) is the Science Director/co-PI on the pre-proposal. Application co-PIs include Dr. Anthony Guiseppi-Elie (Anderson University), Dr. Jihad Obeid (Medical University of South Carolina), and Dr. Qi Wang (University of South Carolina). An overview of the pre-proposal’s programmatic theme is given below. Details on the next steps in broadening participation in the project and developing the full application to NSF will be announced soon.
In the interim, please contact Jim Doolittle (email@example.com) if you have questions.
AI-Enabled Advancement in Personalized Biomedical Devices (ADAPT) responds to the jurisdictional need to build capacity in the design of biomedical devices with AI-enabled, customized performance and secure their manufacture in South Carolina. This initiative focuses on establishing a statewide institute, the SC AI Institute for Biomedical Devices, which will harness and realize the potential in the state for integrating AI into the design of accurate diagnostic devices, smart surgical devices, and precision rehabilitation devices. ADAPT will vitalize South Carolina’s AI-enabled biomedical device industry by fostering excellence in cross-cutting STEM research; educating and training a diverse, competitive workforce; building or expanding on collaborative partnerships with academic, industrial, and healthcare institutions; developing innovative methods for translating research results to companies; and catalyzing economic development.