NC TraCS has secured a seven-year, $70 million Clinical and Translational Science Award from the NIH to accelerate high-impact research that improves human health and advances health equity. The latest grant will provide continued funding for the North Carolina Translational and Clinical Sciences Institute, the academic hub of the CTSA program at UNC-Chapel Hill’s School of Medicine.
“For the last 15 years, NC TraCS has worked to enhance our clinical research infrastructure, capacity, and efficiency at UNC and our partners, N.C. A&T and NC State University,” said Nick Shaheen, MD, MPH, Co-Principal Investigator of NC TraCS. “We are excited to have this new funding to focus on the most compelling health issues of our time—effectively, expediently, and efficiently translating science toward clinical practice and health policy for all those we serve.”
The Bloom Process Mapping Tool won this year’s WCG Innovation Challenge at the WCG MAGI East 2023 Clinical Research Conference. Bloom is an online platform designed to construct a customized process map for studies based on answers to questions about study characteristics.
Engaging partners in the collection, analysis, and interpretation of data can significantly enhance the appropriateness and acceptance of findings and recommendations. A data party is one way of conducting participatory data interpretation. Use our planning guide to successfully plan and implement your next data party!
Michael Kappelman, MD, MPH, was the lead PI on the clinical trial which followed nearly 300 children with Crohn's to evaluate how their conditions changed in response to anti-TNF biologic treatments alone or in combination with a second immune suppressive medication.
Loretta Fearrington is a Research Informatics Specialist with the NC TraCS Informatics and Data Science (IDSci) service, which supports investigator studies with innovative technology and advanced analytics. We recently spoke with her about what drew her to informatics, the challenge of creating common data models, handling large amounts of PHI data, and helping researchers succeed.
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