This study is to test a prototype for a jupyter widget that can be used to compare two sets of health records data to help detect selection bias.

The aim of this study is to increase awareness and use of the haptics simulation lab at a research medical university using gamification. When the University of North Carolina Adams School of Dentistry first purchased dental case simulators (Simodont), they purchased two and put them in a room disassociated with the preclinical lab resulting in very little use of the simulators. In August of 2024, eight more simulators were purchase and all ten were moved to the preclinical lab. Orientations to the simulators were in the form of eModules on Canvas and face-to-face hands-on training. Faculty members desiring to use them in their courses met with the Simodont administrator to edit cases that came with the simulators. Currently first and second year dental students are using the simulated cases in their preclinical courses with the third and fourth year students already in the clinic attending to

The goal of this NIH-funded study is to chart development in young autistic children to see how development varies by diagnosis and sex/gender. To do this, we will see families four times over the course of 18 months. Children will complete eye tracking tasks and behavioral assessments.

Our goal is to conduct a pilot randomized controlled trial (RCT) to evaluate the effects of Pharm-SAVES suicide prevention gatekeeper training for community pharmacy staff communication behaviors, knowledge, and self-efficacy.

The purpose of this research study is to examine the number, distribution and types of white blood cells in the blood and gastrointestinal (GI) tract (large and small intestines) containing HIV. Nancie Archin, PhD, is the lead research scientist in the UNC HIV Cure Center for this study.

We examine how UK nationals view countries that are subject to hostile behavior by foreign governments.

This study seeks to build novel understanding of the household-level impacts of extreme weather events (like flash floods) on motor vehicle ownership and travel patterns.

We are studying how to make medical test results easier for patients to understand. Pathology reports, which explain what doctors find in tissue samples, are often written for medical professionals and can be hard for patients to read. In this study, we are testing whether artificial intelligence (AI) can help explain these reports in plain language. Patients having a routine screening procedure will read a sample report with or without an AI-generated explanation. Then they will answer questions about how well they understood the report and how they felt about it. We want to learn if using AI helps people better understand their health information and feel more confident making decisions. This will help improve the way test results are shared in the future.

To collect and store specimens from people who have been exposed to a natural or manmade disaster.

To evaluate the impact of environmental exposures during pregnancy on women's cardio-metabolic health in the years following the pregnancy.