Join a live training session for the N3C Data Enclave. Users of all types can learn how to navigate the N3C, utilize the Enclave and resources it provides, and learn how to better achieve their analytical goals. This orientation is split into 2 sessions – Session A and Session B. These orientations are ongoing and will alternate week by week. Session A is recommended before attending Session B
Session A is for those who want to learn about N3C, as well as how to engage with project teams and access the data.
Topics include:
Note: This orientation is held alternating Tuesdays | 8-9:30am PT/11am-12:30pm ET
In this session of the Machine Learning Seminar series, Michele Jonsson-Funk, PhD, will introduce Machine Learning concepts and the potential implications of using Machine Learning for clinical research.
Presenter
Michele Jonsson-Funk, PhD
Associate Professor of Epidemiology
Director of the Center for Pharmacoepidemiology
UNC-Chapel Hill
The REDCap Forms Training Session will teach users to build forms using the online designer or data dictionary (lecture/demo).
Our current REDCap trainings are offered as webinar-only.
REDCap is a secure web application that can be used to build and manage case report forms, surveys and other data capture mechanisms for clinical research. NC TraCS provides training classes to assist you in getting started with building REDCap data collection forms for your research projects.
Current REDCap training offerings include:
For more information, please visit our REDCap webpage.
Falls and falls-related injuries result in substantial morbidity, mortality, and disability among older adults. This presentation will discuss current knowledge on the association between sensorineural hearing loss & falls as well as a proposed mechanistic model. Preliminary results on whether the association is modified by hearing healthcare intervention (i.e. hearing aids and/or cochlear implants) will also be discussed.
Presenter
Kristal M. Riska, AuD, PhD
Assistant Professor
Department of Head and Neck Surgery & Communication Sciences
Duke University School of Medicine
Join the UNC Program for Precision Medicine in Healthcare (PPMH) for Precision Health @UNC: Machine Learning & Precision Analytics. At this interactive event, you will engage in discussion with leading Precision Medicine researchers at UNC. Presenters will explore information sources, data science tools that use the information, and the application of the resulting findings to health care. Another theme will be sources of bias in machine learning and how that bias can be minimized or eliminated.
Shawn Gomez, PhD: Data-driven approaches towards linking kinotype with phenotype
Professor, Pharmacology and UNC/NC State Joint Department of Biomedical Engineering
Amanda Nelson, MD: Machine learning for phenotyping in osteoarthritis
Associate Professor of Medicine, Division of Rheumatology, Allergy, and Immunology
Alex Rubinsteyn, PhD: Machine learning in personalized cancer vaccine design
Assistant Professor, Computational Medicine and Lineberger Cancer Center
This dynamic discussion forum will explore the breadth of Precision Health initiatives at UNC and facilitate connections between colleagues with similar research interests. We hope to see you there!
1:00-1:05 | Opening remarks |
1:05-1:30 | Shawn Gomez presentation |
1:30-1:55 | Amanda Nelson presentation |
1:55-2:20 | Alex Rubinsteyn presentation |
2:20-2:35 | Breakout rooms – Q&A with individual speakers |
2:35-2:55 | Whole-group discussion |
2:55-3:00 | Closing remarks |
Email This email address is being protected from spambots. You need JavaScript enabled to view it. for more information.
This six-part orientation is strongly recommended for all clinical research personnel who are new to UNC or new to research. The series will introduce research personnel to the UNC offices involved in clinical trials, discuss the federal and local regulations governing conduct of research, and provide an overview of best practices utilized in the implementation of clinical research. It is recommended that registrants complete both the CITI Good Clinical Practice (GCP) and CITI Human Subjects Protection (IRB/Ethics) modules prior to attending the orientation.
Each session of the orientation will be held on Wednesday afternoons,1:30 to 4:30pm. Research personnel are encouraged to attend all 6 modules, but may choose to attend only those of particular interest or relevance. The topics to be covered this week include:
This is an online 3-part short course (held over three afternoons - 4/14, 4/15, 4/16 ) offered by the Odum Institute. Stata part 1 will offer an introduction to Stata basics. Part 2 will teach entering data in Stata, working with Stata do files, and will show how to append, sort, and merge data sets. Part 3 will cover how to perform basic statistical procedures and regression models in Stata.
When you attend the Innovation Showcase hosted by Innovate Carolina, you meet the most enterprising innovators from UNC-Chapel Hill and the local entrepreneurial community. Celebrate the work of UNC-Chapel Hill faculty, students, alumni and local business founders who have combined ingenuity and hard work to make a human and economic impact.
Chancellor Kevin Guskiewicz, Chapel Hill Mayor Pam Hemminger and other leaders will kick off a special celebration: the 10-year anniversary of the Innovate Carolina roadmap, which established today’s active network of people and programs that help innovators and ventures make their ideas work.
In this seminar, Cathi Propper, PhD, will focus on early predictors of cognitive outcomes in preschool age children. Specifically, prenatal experience such as stress, inflammation, and nutrition play a critical role in shaping childhood developmental trajectories and they differ by sociodemographic status. Prenatal experience may also influence infant sleep across the first year of life, which may act as a mediator of the relationship between prenatal experience and cognitive outcomes.
Propper will present the results of a pilot study that examined these links in African American families and will provide details about an innovative naturalistic observation of infant sleep in the home that may help explain associations.
The Inclusive Science Program (ISP) focuses on increasing the inclusion of populations that have been historically underrepresented in clinical and translational research. The ISP Spring Seminar Series highlights research with a focus on diverse representation.
Presenter
Cathi Propper, PhD
Advanced Research Scientist
Director, Developmental Biobehavioral Core
Frank Porter Graham Child Development Institute
UNC-Chapel Hill
Adam Lee from NC TraCS and Stephanie Deen from UNC Health will be presenting on EPIC Updates and Health Informatics. They will provide an overview and success stories of using myUNCchart (myChart) for patient recruitment, review Epic@UNC security and feature updates and enhancements, and provide an overview and use cases for Best Practice Advisories within Epic for research studies.
Attendance at this event is pending approval for 1 contact hour of clinical research education on applications for Maintenance of ACRP's CCRC®, CCRA®, CPI® or ACRP-CP® certification designations
Presenters: Adam Lee (NC TraCS) and Stephanie Deen (UNC Health)
Join Carolina Health Informatics Program’s (CHIP) virtual Analytics and Machine-Learning in Maternal-Health Intervention (AMMI) conference. The AMMI conference will provide a unique and much needed platform for multi-disciplinary researchers from maternal health, machine learning, informatics, and medical imaging on topics related to prenatal health. Through this event, CHIP aims to promote health equity in maternal and child health. This innovative virtual symposium will include keynote speakers, panel discussions, student poster sessions, and networking opportunities with the leading industry and academic researchers in machine learning and maternal health.
Sarahn Wheeler, MD
Duke University Medical Center, Assistant Professor of Obstetrics and Gynecology
Janice Huckaby, MD
Chief Medical Officer, Maternal-Child Health, for UnitedHealthcare/Optum Population Health Solutions
Herbert Peterson, MD
William R. Kenan, Jr. Professor, Department of Maternal and Child Health, UNC Chapel Hill
William R. Kenan, Jr. Professor, Department of Obstetrics and Gynecology, UNC Chapel Hill
Director, WHO Collaborating Center for Research Evidence for Sexual and Reproductive Health
This is an online 3-part short course (held over three afternoons - 4/14, 4/15, 4/16 ) offered by the Odum Institute. Stata part 1 will offer an introduction to Stata basics. Part 2 will teach entering data in Stata, working with Stata do files, and will show how to append, sort, and merge data sets. Part 3 will cover how to perform basic statistical procedures and regression models in Stata.
Join Carolina Health Informatics Program’s (CHIP) virtual Analytics and Machine-Learning in Maternal-Health Intervention (AMMI) conference. The AMMI conference will provide a unique and much needed platform for multi-disciplinary researchers from maternal health, machine learning, informatics, and medical imaging on topics related to prenatal health. Through this event, CHIP aims to promote health equity in maternal and child health. This innovative virtual symposium will include keynote speakers, panel discussions, student poster sessions, and networking opportunities with the leading industry and academic researchers in machine learning and maternal health.
Sarahn Wheeler, MD
Duke University Medical Center, Assistant Professor of Obstetrics and Gynecology
Janice Huckaby, MD
Chief Medical Officer, Maternal-Child Health, for UnitedHealthcare/Optum Population Health Solutions
Herbert Peterson, MD
William R. Kenan, Jr. Professor, Department of Maternal and Child Health, UNC Chapel Hill
William R. Kenan, Jr. Professor, Department of Obstetrics and Gynecology, UNC Chapel Hill
Director, WHO Collaborating Center for Research Evidence for Sexual and Reproductive Health
This is an online 3-part short course (held over three afternoons - 4/14, 4/15, 4/16 ) offered by the Odum Institute. Stata part 1 will offer an introduction to Stata basics. Part 2 will teach entering data in Stata, working with Stata do files, and will show how to append, sort, and merge data sets. Part 3 will cover how to perform basic statistical procedures and regression models in Stata.