The purpose of this study is to identify the long-term safety of TZIELD in Stage 2 T1D patients treated with TZIELD under real-world conditions. A comparison group of patients with Stage 2 T1D who were not treated with TZIELD will also be enrolled.

We are studying the frequency of flooding in coastal North Carolina and the impacts of floods on households and businesses.

We are evaluating the impact of IM student chiefs' review sessions on students' performance and satisfaction with their OSCE (observed standardized clinical evaluation) during their Medicine clerkship through a post-OSCE survey

The purpose of this study is to learn more about the study product, STIMULAN VG, and how well it works on Diabetic Foot Osteomyelitis (DFO), compared to the usual treatment provided. It is not known if the experimental research treatment is better than the current treatment of DFO, so the two treatments need to be compared in this study.

Evaluating the processes and impacts of a multi-year research project

Allow learners to practice nerve blocks

The purpose of this research study is to assess how inflammatory bowel disease (IBD) influences reproductive and contraceptive concerns for young women with IBD and to explore their preferences regarding contraceptive counseling in the IBD clinic. The results from this study will give providers essential insight into the contraceptive use concerns and preferences of young women with IBD.

This study will investigate two different systems to help analysts enter operator comments (i.e., annotations) on transcripts of audio conversations.

The purpose of this research is to examine how individuals interact with different versions of GPT chatbots to discuss key social issues.

The purpose of this study is to develop and validate an Artificial intelligence (AI)-based tissue sample analysis tool that can predict response & progression rates to chemotherapy in intermediate-risk (IR) and high-risk (HR) Non-muscle invasive bladder cancer (NMIBC) patients. This study will use AI-based tissue sample analysis as a possible tool to help predict which patients are at high-risk for cancer recurrence and progression after surgery and chemotherapy treatment. Specimens will be obtained for each patient before treatment and at the 12, 24, & 36 month follow-up to be analyzed using the AI-based tool.