Do you have bladder, kidney, prostate, or another genitourinary cancer diagnosis? If so, you may be able to take part in a research study collecting specimens (e.g., blood, urine, saliva, tissue) during your already scheduled appointments. Collecting these specimens may help researchers develop new ways to detect cancer earlier or to more effectively treat cancer.

The purpose of this study is to investigate the efficacy and safety of efgartigimod PH20 SC in adults with active idiopathic inflammatory myopathy.

The purpose of this study is to measure how much methyl salicylate (MeS) is absorbed through the skin after exposure to MeS that is present in cloth.

The purpose of this study is to evaluate how people make decisions.

The purpose of this project is to identify and target barriers faced by rural endometrial cancer patients in order to develop a patient navigation intervention. Rural residents with endometrial cancer, the the most prevalent gynecologic cancer in the US, have higher odds of mortality than urban endometrial cancer patients. As the number of new endometrial cancer cases is expected to increase 50% by 2030, this urban-rural disparity is expected to continue widening.

The purpose of this research study is to understand the use and effectiveness of Basic Needs services (i.e. food assistance resources such as food pantries, housing assistance, financial assistance) offered at UNC Chapel Hill. The study will also provide greater insight into the food security status of college students.

Participants of the Clerkship Administrator Certificate Program will be surveyed to describe their experience and long-term outcomes.

We are reaching out to patients who were hospitalized at UNC and are also eligible for cardiac rehabilitation. We want to learn more about what the barriers are to attending cardiac rehabilitation. Did you not know it existed? Did the time commitment seem too much? What other questions did you have?

Machine learning is a powerful tool for solving problems that involve a lot of data. It is being used in many different fields. The first step in creating a machine learning system is to understand what you want to achieve and then turn that goal into a plan for using machine learning. This is called problem formulation. Problem formulation is important because it not only helps you understand what you want to achieve but also helps you figure out if you have the right data to make it work. Practitioners need to try different approaches and see what works best for their data. This can take some trial and error. This study looks at a new tool designed to make problem formulation easier and see if it helps practitioners.

This study aims to understand the beliefs about prescriptive authority held by psychologists in Pennsylvania. Our goal is to better understand why psychologists may or may not be interested in prescribing so that future studies can develop educational materials to improve licensure rates.