⚡ Quick Summary
The MVP-CHAMPION collaboration between the Department of Veterans Affairs and the Department of Energy has made significant strides in health data science, with a funding of $79.6 million supporting over 10 collaborative projects. This initiative has led to the identification of 38,270 genetic variants associated with various health traits, enhancing our understanding of health conditions prevalent among veterans.
🔍 Key Details
- 📊 Funding: $79.6 million
- 🤝 Collaboration: Department of Veterans Affairs (VA) and Department of Energy (DOE)
- 🧬 Projects launched: Over 10 scientific projects
- 🔬 Genetic analysis: 44 million genetic variants analyzed
- 🏆 Notable achievement: 2018 Gordon Bell Prize for opioid addiction study
🔑 Key Takeaways
- 🌟 Interagency collaboration has fostered advancements in health data science.
- 💡 Centralized data management and genomic analysis are key components of the initiative.
- 🔍 Ground-breaking analysis identified 38,270 genetic variants linked to health traits.
- 🌍 Unique associations were found in over 2000 cases specific to non-European ancestry.
- 🤖 AI advancements include state-of-the-art natural language processing techniques.
- 🧠 Predictive models are being tested for clinical management applications.
- 📈 New projects launched in 2023 build on previous successes.
- 💰 Funding challenges remain a barrier for continued health research.
📚 Background
The MVP-CHAMPION initiative, established in 2016, represents a landmark collaboration aimed at leveraging data science to improve health outcomes for veterans. By combining resources and expertise from the VA and DOE, this program seeks to address pressing health issues through innovative research and technology.
🗒️ Study
The collaboration is overseen by the VA Office of Research Development and DOE leadership, with an Executive Committee guiding the scientific direction. The focus has been on centralized data management and genomic analysis, utilizing advanced methodologies such as natural language processing and image processing to enhance research capabilities.
📈 Results
The collaboration has successfully launched over 10 projects targeting health conditions prevalent in veterans, including prostate cancer and suicide prevention. A significant achievement was the analysis conducted on the Summit and Andes supercomputers, which revealed 38,270 genetic variants associated with various health traits, providing valuable insights into the genetic basis of health conditions.
🌍 Impact and Implications
The findings from the MVP-CHAMPION initiative have the potential to transform healthcare for veterans by informing clinical management and treatment strategies. The integration of advanced data science techniques and AI can lead to more personalized and effective healthcare solutions, ultimately improving patient outcomes and quality of life.
🔮 Conclusion
The MVP-CHAMPION collaboration exemplifies the power of interagency partnerships in advancing health data science. As new projects emerge and funding challenges are addressed, the potential for continued breakthroughs in understanding and treating health conditions among veterans remains promising. Ongoing support and innovative funding models will be crucial for sustaining this vital research.
💬 Your comments
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A landmark federal interagency collaboration to promote data science in health care: Million Veteran Program-Computational Health Analytics for Medical Precision to Improve Outcomes Now.
Abstract
OBJECTIVES: In 2016, the Department of Veterans Affairs (VA) and the Department of Energy (DOE) established an Interagency Agreement (IAA), the Million Veteran Program-Computational Health Analytics for Medical Precision to Improve Outcomes Now (MVP-CHAMPION) research collaboration.
MATERIALS AND METHODS: Oversight fell under the VA Office of Research Development (VA ORD) and DOE headquarters. An Executive Committee and 2 senior scientific liaisons work with VA and DOE leadership to optimize efforts in the service of shared scientific goals. The program supported centralized data management and genomic analysis including creation of a scalable approach to cataloging phenotypes. Cross-cutting methods including natural language processing, image processing, and reusable code were developed.
RESULTS: The 79.6 million dollar collaboration has supported centralized data management and genomic analysis including a scalable approach to cataloging phenotypes and launched over 10 collaborative scientific projects in health conditions highly prevalent in veterans. A ground-breaking analysis on the Summit and Andes supercomputers at the Oak Ridge National Laboratory (ORNL) of the genetic underpinnings of over 2000 health conditions across 44 million genetic variants which resulted in the identification of 38 270 independent genetic variants associating with one or more health traits. Of these, over 2000 identified associations were unique to non-European ancestry. Cross-cutting methods have advanced state-of-the-art artificial intelligence (AI) including large language natural language processing and a system biology study focused on opioid addiction awarded the 2018 Gordon Bell Prize for outstanding achievement in high-performance computing. The collaboration has completed work in prostate cancer, suicide prevention, and cardiovascular disease, and cross-cutting data science. Predictive models developed in these projects are being tested for application in clinical management.
DISCUSSION: Eight new projects were launched in 2023, taking advantage of the momentum generated by the previous collaboration. A major challenge has been limitations in the scope of appropriated funds at DOE which cannot currently be used for health research.
CONCLUSION: Extensive multidisciplinary interactions take time to establish and are essential to continued progress. New funding models for maintaining high-performance computing infrastructure at the ORNL and for supporting continued collaboration by joint VA-DOE research teams are needed.
Author: [‘Justice AC’, ‘McMahon B’, ‘Madduri R’, ‘Crivelli S’, ‘Damrauer S’, ‘Cho K’, ‘Ramoni R’, ‘Muralidhar S’]
Journal: JAMIA Open
Citation: Justice AC, et al. A landmark federal interagency collaboration to promote data science in health care: Million Veteran Program-Computational Health Analytics for Medical Precision to Improve Outcomes Now. A landmark federal interagency collaboration to promote data science in health care: Million Veteran Program-Computational Health Analytics for Medical Precision to Improve Outcomes Now. 2024; 7:ooae126. doi: 10.1093/jamiaopen/ooae126