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Category Archives: Clinical Informatics and AI
A Scalable Platform for Exploring and Analyzing Whole Brain Tissue Cleared Images
Overview By developing a scalable platform for exploring and analyzing whole brain tissue cleared images, RENCI is working to help researchers take advantage of advances in microscopy to study brain development and disease. RENCI’s Role Light sheet fluorescence microscopy images can shed new light on the understanding of three dimensional structures of the whole brain […]
Posted in Clinical Informatics and AI, Research
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READDI-AC
Overview Developed in response to the COVID-19 pandemic, the Rapidly Emerging Antiviral Drug Development Initiatives AViDD Center (READDI-AC) platform integrates cutting-edge discovery-based academic science with product development-oriented industrial drug development transforming the historically reactive landscape of emerging virus drug development to one that is proactive. READDI-AC components are completed in part by the creation of […]
Posted in Clinical Informatics and AI, Research
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FHIRCat
Enabling the Semantics of FHIR and Terminologies for Clinical and Translational Research Overview HL7 Fast Healthcare Interoperability Resources (FHIR) is an emerging next generation standard framework for the exchange of electronic health record (EHR) data. The FHIR specification defines a common vocabulary and mechanism for sharing EHR data independent of how it is actually stored. […]
Posted in Clinical Informatics and AI, Research
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QDACT
Overview Palliative care – the area of healthcare that focuses on relieving and preventing the suffering of patients – has often been synonymous with hospice care and thus limited only to patients nearing the end of life. However, palliative medicine has been shown to be beneficial for patients in all disease stages, including those undergoing treatment for […]
Posted in Clinical Informatics and AI, Research
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NC TraCS
Overview The North Carolina Translational and Clinical Sciences (NC TraCS) Institute at UNC-Chapel Hill is one of 60 medical research institutions working together as a national consortium to improve the way biomedical research is conducted across the country. The consortium, funded through the NIH Clinical and Translational Science Awards (CTSA), shares a common vision to […]
Evidence-Based Medicine
The growth of systems that capture and store electronic medical records is creating greater opportunity for historical data to inform the decision-making processes of physicians. This field of research is known as evidence-based medicine. RENCI is involved with several different knowledge-based medical research projects in efforts led by Senior Research Scientist Ketan Mane.
Posted in Clinical Informatics and AI, Research
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Informatics for Genetic Sequencing
Overview Technological advances have given researchers and clinicians access to an enormous amount of information about the human genome. Studying the genomes of individuals and populations can help us better understand human health and disease, evaluate factors that modify risk for disease, inform diagnoses, help predict response to treatments, and identify new drug targets. Given […]
Posted in Clinical Informatics and AI, Research
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Secure Research Space: Security for a world of distributed data
Overview The Carolina Data Warehouse for Health (CDW-H) houses clinical health records for all UNC Hospitals patients. These records are a valuable source of data for researchers. In addition to enabling access for legitimate healthcare and research purposes, the CDW-H must protect against loss of these records to ensure patient privacy and security. RENCI’s Role […]
Posted in Clinical Informatics and AI, Computing & Networking, Research
Tagged Health Science
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Public Health 2.0
Overview Public health organizations focus on improving health through prevention, management and treatment of diseases. For this reason, health agencies and researchers collect population health data from the census block level to the county level. Such data is analyzed to compute vital statistics that help public health officials understand the trends related to diseases within […]
Posted in Clinical Informatics and AI
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