Category Archives: Blog

ChatGPT used to streamline medical record analysis in EduHeLx

The EduHeLx team at the Renaissance Computing Institute demonstrated time- and cost-saving capabilities of ChatGPT in an educational use case for a UNC-Chapel Hill clinical data science course. In the past few months, ChatGPT has risen from relative obscurity to a newsworthy technology for its revolutionary artificial intelligence (AI) capabilities. The natural language processing chatbot […]

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NC researchers come together to harness the power of clinical and environmental health data

In an increasingly interconnected world, the integration of clinical and environmental health data holds immense potential for advancing research, improving patient outcomes, and shaping the future of healthcare. However, to truly make an impact on individuals and communities, institutional and scientific silos that hinder collaboration and resource sharing must be overcome. Recognizing this challenge, Cavin […]

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RENCI strengthens storm surge response capabilities

APSViz provides critical, high-resolution coastal hazards information to expedite decision-making and productivity On September 28, 2022, Hurricane Ian made landfall along the west coast of Florida as a Category 4 hurricane–the strongest Category 4 hurricane to hit the region since Hurricane Charley in 2004–causing substantial damage from strong winds and the resulting storm surge and […]

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EduHeLx: A Cloud-based Programming Platform for Data Science Education

The EduHeLx pilot experiment informed future thinking about incorporating cloud-based technologies in UNC-CH courses, including courses in the new UNC-CH School of Data Science & Society (SDSS)

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New concept poised to accelerate drug discovery through data mining

RENCI scientists and collaborators have developed and defined a concept called Clinical Outcome Pathways (COPs) that could help scientists harness the vast amounts of clinical and biomedical data available today to accelerate drug discovery and drug repurposing.

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RENCI’s Advanced Cyberinfrastructure Support Team introduces updated research resources

The Advanced Cyberinfrastructure Support (ACIS) team at RENCI works to provide efficient, available resources for our researchers. Over the last several months, the team has introduced several new capabilities and tools that support researchers in successfully producing results from their computing research.

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Use cases show Translator’s potential to expedite clinical research

RENCI investigators are contributing to the development of a platform called Biomedical Data Translator that will allow researchers to easily access and interrelate large amounts of data relevant to advancing biomedical research.

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New streamlined statistical method provides improved pattern detection and risk prediction for disease

The novel regression algorithm, CALF, outperforms the current gold standard, LASSO, in statistical tests

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New data format aids large-scale evolutionary biology research

Gaurav Vaidya, PhD, from RENCI collaborated with a multi-institutional team of researchers to create a new data format that makes the clade definitions used by evolutionary biologists readable and interpretable by computers. Clades, which capture an organism’s ancestor and all its descendants, make up a portion of a phylogeny, a set of evolutionary relationships between different organisms.

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Biomedical Data Translator Platform moves to the next phase

Although we now have huge amounts of data on everything from genes to the causes of disease, it is stored in an enormous variety of ways and in many different locations. This makes it difficult, if not impossible, to find and use this data to think about biomedical questions in a big picture, holistic way. […]

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