A clinical study to investigate efficacy and safety of a new injectable drug to treat symptoms of thyroid eye disease
This study seeks to qualitatively evaluate and understand UNC Family Medicine Center's transition to value-based care.
Our experimental aims are to 1) evaluate two methods for collecting dried blood spots (i.e., finger prick versus Tasso M20) and 2) examine correlations between psychological variables and pro-inflammatory markers. To achieve these, we will be implementing a course-based undergraduate research experience (CURE) and plan to assess its effectiveness in student success (e.g., academic performance, involvement in research, and retention in STEM).
The purpose of the study is to determine if information about how public housing programs can increase recipient insecurity, and how information about this insecurity can contribute to a reduction in support for social policy among the general population.
The purpose of this study is to optimize social media messages to encourage people to connect with others. Our goal is to create messages that resonate with populations that face a higher burden of disease.
Sanfilippo syndrome Type A or mucopolysaccharidosis type IIIA (MPS IIIA) is a rare genetic disorder caused by the deficiency of the lysosomal enzyme sulfamidase. Lack of this enzyme causes buildup of large sugar molecules called glycosaminoglycans (GAGs) in the lysosomes which leads to cellular dysfunction. The buildup of GAGs causes significant damage to the body and brain. This study is a multicenter, Phase 1/2 study to assess the safety, tolerability, and efficacy of they study drug DNL126, an enzyme replacement therapy, to provide the missing enzyme to the body. Up to 28 participants with MPS IIIA will participate in the study across multiple study sites .
This project studies how our ability to hear with two ears changes as we age or develop hearing loss.
To determine the helpfulness of using images of brain anatomy to educate patients about their cognitive disorders.
The purpose of this study is to figure out the best way to work with providers and staff who treat pregnant people with very high blood pressure. We will send a nurse to 20 clinics that provide prenatal care in the community. For 12 months, the nurse will train and coach staff on implementing guidelines for addressing severe blood pressure. Some of the training will use patient actors who need their blood pressure measured, or who come to the clinic with very high blood pressure. The nurse will observe the clinic team as they interact with the "pretend" patient, and talk to them afterwards about ways to improve care. We will collect data before, during, and after the nurse has worked in the clinic. Information from 1) observations, and 2) patient charts of people who have already delivered, will tell us if our efforts in the clinics made a difference.
Compare the ability of crowd-sourced amateurs in identifying and labeling complex constructs (here, the 4 Ps of Marketing) in user-generated content (here, Tweets) with that of generative AI (here, ChatGPT4) . Can generative AI match or even exceed crowd-sourced labels?