Advanced training in using functions with your projects such as Surveys, Randomization, Calendar/Scheduling, etc.
*NOTE: There are no prerequisites for taking the Functions class. Previous attendees advise that you should take one of the Forms classes prior. As a minimum, it will help if you are familiar with building forms, field types, and the options/parameters that belong to those field types.
This session will review using surveys and provide ample time to answer any questions REDCap users might have.
In this session of the NC TraCS Machine Learning seminar series Michael Kosorok, PhD, will present on recent developments in Machine Learning and how these developments will impact and advance Precision Medicine. Precision medicine is "an emerging approach for disease treatment and prevention that takes into account individual variability in genes, environment, and lifestyle for each person." This approach will allow doctors and researchers to predict more accurately which treatment and prevention strategies for a particular disease will work in which groups of people.
An introduction to the method, tools, and mindset for solving complex problems in healthcare. During this 30-minute webinar, we will provide an overview of the method, tools, and mindset for solving complex problems called Lateral Thinking. Lateral Thinking is a non-linear, iterative systematic process that teams use to consistently arrive at creative solutions to seemingly impossible problems.
Join the NC TraCS Comparative Effectiveness Research team for a discussion on what we do and do not know about pregnancy and COVID-19. This discussion will be led by Mollie Wood, PhD.
Join the NC TraCS Comparative Effectiveness Research team for a discussion on the National COVID Cohort Collaborative (N3C). This discussion will be led by Richard Moffitt, PhD, of Stony Brook University. The majority of U.S. reports of COVID-19 clinical characteristics, disease course, and treatments are from single health systems or focused on one domain. Here we report the creation of the National COVID Cohort Collaborative, a centralized, harmonized, high-granularity electronic health record repository that is the largest, most representative U.S. cohort of COVID-19 cases and controls to date. This multi-center dataset supports robust evidence-based development of predictive and diagnostic tools and informs critical care and policy.
The TraCS Professional Development Seminar series covers foundational skills useful for career development in clinical/translational research. It is split into 4 modules. In this session of the Finding Funding module, learn more about working with foundations.
Orientation for New Clinical Research Personnel is returning for fall 2021 with an updated curriculum! The curriculum is designed to be a true orientation for new research personnel (either new to UNC or new to research altogether), but anyone is welcome to attend.
Orientation for New Clinical Research Personnel is returning for fall 2021 with an updated curriculum! The curriculum is designed to be a true orientation for new research personnel (either new to UNC or new to research altogether), but anyone is welcome to attend.
How do you want to engage with research? Research for Me @UNC and the NC TraCS Institute offer engagement and development opportunities for all stages of the research process. Want to participate in research? Want to learn more about protocol development, funding opportunities, community engagement, or the regulatory landscape? Need help with how to best conduct your own research? We’ve got you covered.
Introducing CLARK 2.0! CLARK 2.0 is a user friendly machine-learning classifier designed to answer a variety of translational research questions. This version of CLARK offers a new interface with additional features including the ability to analyze data based on both structured and unstructured data.
Research for Me continues to normalize research, break down barriers, and make it easier for people to engage with research, but we know there may still be questions about how it works. Join the Research for Me team for a Town Hall on November 17 from 12-1 p.m. to share your thoughts! Please submit your questions in advance to research_for_me@unc.edu.