RII Track-1: AI-enabled Devices for the Advancement of Personalized and Transformative Healthcare in South Carolina
- Institution
- Clemson University, SC
- Principal investigator
- Tanju Karanfil
- Funding
- $20.0M
- Duration
- 2023–2028
Moonbase score
Still being scored
Abstract
The vision of the "Artificial Intelligence-enabled Devices for the Advancement of Personalized and Transformative Healthcare in South Carolina" (ADAPT) project is to build research capacity at the nexus of artificial intelligence (AI), life and social sciences, and bioengineering through fundamental research, education, workforce development, and industry partnerships. Building this capacity will significantly accelerate the development and deployment of AI solutions to create next-generation biomedical devices that will improve healthcare outcomes and address the healthcare needs of South Carolinians, especially those in underserved regions. ADAPT will contribute to South Carolina’s AI-enabled biomedical device industry by fostering cross-cutting STEM research throughout the state and translating research outcomes into new technologies. Participation in AI development and associated biomedical device research will be expanded by recruiting and supporting trainees through STEM camps, teacher engagement, and retention/persistence initiatives along the STEM pipeline. ADAPT will be led by Clemson University in partnership with Benedict College, The Citadel, Claflin University, College of Charleston, Francis Marion University, Medical University of South Carolina, South Carolina Research Authority, South Carolina State University, Tri-County Technical College, University of South Carolina, and Winthrop University. ADAPT research will focus on emerging biomedical AI and its integration with targeted biomedical devices for use in three phases of medical interventions: diagnosis, treatment, and rehabilitation. The AI-enabling Core will take on fundamental research in biomedical AI, tackling issues such as data acquisition, multimodal data fusion, data representation learning, meta-learning, physics-informed machine learning, security, and trustworthy AI to provide integrated solutions for the biomedical devices developed in each research thrust. The AI ethics team in ADAPT’s AI-enabling Core is tasked to set AI ethics standards and design innovative education and training programs to ensure that the AI-enabled biomedical devices are trusted by both healthcare providers and receivers in practice. Research will address critical issues in biomedical AI, including incorporation of ethics into design decisions; elimination of the “black box” via explainable AI; integration of multimodal data via deep learning models; and AI-device integration via digital twins. ADAPT will deliver a new national model for developing biomedical devices, educating and training a biomedical AI workforce, and interacting with stakeholders. ADAPT will benefit the State of South Carolina through: (1) leadership and national prominence in healthcare AI; (2) an AI-literacy campaign to promote the use of AI in addressing healthcare disparities; (3) social awareness of the importance of AI in precision medicine; and (4) professional competency in AI through continuing education credits for healthcare professionals (e.g., nurses, physicians, and healthcare administrators). This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
Research team
- Tanju KaranfilPI
- Qi Wang
- Zhi Gao
- Jihad Obeid
- Christopher Korey
- Anthony Guiseppi-Elie
LOADING MOONBASE SCORE
Questions for Clemson University
Answered by the team behind this research.
No questions yet. Sign in to ask the first one
Related grants
Same researchers, same institution, same topic, scored first.
- NSF · San Diego State University FoundationNot yet scored
ERI: Efficient identification of passive scalar source in turbulence using the Probabilistic Domain of Dependence (P-DoD)
Qi Wang · $200K · 2024–2027
- NSF · Northeastern UniversityNot yet scored
SCC-IRG Track 1: Strengthening Elderly Mobility in Urban Landscapes: Towards Age-Inclusive and Equitable Communities
Qi Wang · $1.6M · 2024–2027
- NSF · San Diego State University FoundationNot yet scored
Collaborative Research: CISE MSI: RDP: III: Physics-Guided Generative Artificial Intelligence for Inverting Chaotic Advection-Diffusion Dynamics
Qi Wang · $300K · 2024–2027