The virus that causes COVID-19 disease infects many people, but only some get sick. We want to understand how COVID affects the immune system and what makes severe COVID infections different from other diseases that cause hospitalization and breathing problems. We collect samples of blood, sputum, urine, and stool from patients in the hospital to learn how COVID affects cells and molecules of the immune system.

The study is designed to estimate the quality of life experienced by participants with controlled and non-controlled EoE because such estimates are useful in health economics research.

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.

This survey is part of a research study about understanding any potential gaps in a prescribing guide developed by pharmacists for dental providers and educators to optimize education on prescribing choices for dental learners. The results of the study will further inform a scope of prescribing guide and educational content on the subject.

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.

In today's workplace, telling a clear and powerful story can help people lead, persuade others, and explain ideas. This study looks at how college students improve their business stories using feedback from an AI writing tool. One way to make stories stronger is by using vivid language. But many students struggle to add vividness to their stories. In this study, students write two stories. After writing the first draft, they receive feedback from a custom AI tool called StoryCoach GPT. Then, they revise their stories based on the AI's suggestions. The study compares student drafts to see if AI feedback helps them write more vivid, engaging business stories. Stronger storytelling can help students stand out in interviews, connect with audiences, and lead with impact. The results may also guide future research on AI tools in professional communication education.

The purpose of this study is to establish that a Xenon MRI can detect brown fat and brown fat activity in greater detail in humans than a FDG-PET.

We're studying how taking small memory tests while reading can help people learn better. We want to see if these tests not only help people remember more later but also change the way they read. This can help us understand how testing can be a useful tool for learning.

This study is being done to better understand Angelman syndrome (AS). Participants will include both children and adults with a diagnosis of AS. The study will collect data regarding medical, behavioral, and developmental challenges in individuals with AS over time. Participants will be invited to return for yearly clinical evaluations yearly until the study runs out of funding. We hope clinicians will be able to help individuals with AS better if we understand the different pattern of symptoms that appear in individuals with AS over their lifetimes.

There are two main aims of this study. The first aim is to describe rates of jaw pain symptoms in patients who have root canal treatment. The second aim is to test whether a short questionnaire can identify patients with jaw pain.