We are interviewing primary care providers to get their thoughts on how best to provide care to patients with eating disorders.

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

Aim 2 is to develop a set of evidence-based cannabis warnings and identify which warning characteristics increase perceived warning effectiveness. Aim 3 is to experimentally determine if large cannabis warnings with characteristics found to be promising in Aim 2 increase risk perceptions. This research is conducted so that states can implement the findings into their cannabis warning regulations.

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.

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.

The purpose of this study is to learn about how youth engage with their community, how they believe they can make changes in their community and how youth groups can help.

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

This is a research study. In this study, you will be asked to complete some questionnaires related to concerns you may have about germs, contamination, and contagions." It will take approximately 30 minutes to complete.

This project aims to integrate generative AI (GenAI) into MEJO379, a high-enrollment course, to meet the demand for students to critically engage with AI in strategic communication. Despite industry emphasis on AI skills, students currently lack knowledge and practice in utilizing AI for primary research. This project seeks to develop GenAI-driven learning experiences to bridge this gap. Leveraging the team's expertise, we will create adaptable learning materials, cutting-edge examples/cases, and engaging assignments emphasizing GenAI best practices and critical reflection.

The literature regarding the role of ethics and professionalism in dental school curricula is quite scarce. We plan to collect information from CODA-accredited dental schools in the United States to gain a better understanding of how ethics and professionalism content is currently being incorporated into dental school curricula nationwide.