Triple Helix Discovery Engine
Archives & Legacy
*Funding: Health IT_Data Science, Emerging Technology, Bioinformatics, Big Data Mining, Predictive Analytics, Algorithms, RPA (Robotic Process Automation), Artificial Intelligence (AI), Large Language Models (LLM), Generative AI, Machine Learning (ML), Digital Twin, Synthetic Data, GIS (Geographic Information Systems) & Visualizations (Archives_2024)

2024: AIM-AHEAD Hub Specific Projects

Attachments

*Funding: Health Disparity, Disparities, Diversity, Equity, Inclusion (DEI), Underserved, Social Services, SDOH (Social Determinants of Health) & CBOs (Community Based Organizations)
*Funding: Health IT_Data Science, Emerging Technology, Bioinformatics, Big Data Mining, Predictive Analytics, Algorithms, RPA (Robotic Process Automation), Artificial Intelligence (AI), Large Language Models (LLM), Generative AI, Machine Learning (ML), Digital Twin, Synthetic Data, GIS (Geographic Information Systems) & Visualizations (Archives_2024)
2021: AIM AHEAD_NIH Funds New Consortium Aimed at Advancing Health Equity and Researcher Diversity_University of North Texas Health Science Center
Funding: OTAs (Other Transaction Authority)s, CSOs (Commercial Solution Openings)s, NonTraditional & Werx Entities

*The seven AIM-AHEAD regional hubs solicit hub-specific project applications that:
1) support research teams that equitably include community stakeholders to address critical health challenges using AI/ML methods
2) facilitate direct interaction between key stakeholder teams, AIM-AHEAD hubs, and AIM-AHEAD technical cores
3) utilize CBPR approaches to advance AI/ML-related capacity building opportunities for vulnerable communities
4) enhance community stakeholder understanding of and familiarity with AI/ML analytic methods.: *Funding for these small-scale projects is expected to establish and facilitate sustainable efforts that will enhance community leadership in AI/ML research, accelerate the dissemination of study findings back to communities, and generate preliminary data to enhance the competitiveness of future larger-scale community-engaged NIH grant applications for AI/ML research applications.