A. AI Foundations
To develop novel and advanced artificial intelligence techniques suitable for intelligent analysis of massive-scale datasets.
- AI Architectures, Representations, & Algorithms
- Biomedical Big Data: Acquisition, Management, & Visualization
- Generative AI and Scalability in AI/ML
- Causality
- Ethics, Fairness, Privacy, Trust, Explainability, Security in AI
B. AI in Healthcare
To deploy new AI techniques to smart health applications. The goal will be to significantly improve healthcare and medical decision-making in addressing key health challenges in West Virginia in particular, but also across the nation and the globe at large. Initial Focus Areas will include:
- Cardiovascular Health
- Genomics and Precision Medicine
- Complications in Surgery
- Clinical Informatics and Drug Safety
- mHealth (mobile health & health devices)
C. AI + DH Education & Workforce Development
The center will embark on sustained workforce development efforts in the high-tech areas of artificial intelligence and digital health (DH) in West Virginia, building on the outcomes from Components A and B.
- Education and Training
- Workforce development
- Training doctors and healthcare professionals on AI and ML
- Training engineers and computer scientists on how to apply their skills in AI to solve specific problems in healthcare and medicine
D. AI+DH Innovation & Translation (Industry + Commercialization)
The center will engage in interactions and collaboration with the AI and digital health ecosystems, including hospitals, industry, and government agencies. This will involve translating the research and educational outcomes from the other components into meaningful commercial applications, leading to potential entrepreneurial activities.
- Industry collaborators
- Commercialization activities
- Government Labs and agencies