Analyze biospecimens and conduct analyses on the association between endocrine disrupting chemicals and child neurodevelopment and growth.

This project will investigate how different types of search engines (e.g. Google) and generative AI systems (e.g. chatGPT) may help users when conducting information-seeking tasks. Our results will inform the design of search tools and increase our understanding of how generative AI systems can be integrated with search tools to assist users.

This study is comparing two ways of treating Atrial Fibrillation (AF). Patients will either take continuous anticoagulation medications, or they will wear AF-sensing smartwatches and take anticoagulation medications for 30 days after an AF event.

A case study of ten biomedical engineering programs in which two universities collaborate on at least a Ph.D. degree. The intent is to identify circumstances that lead to successful inter-university collaboration as measured by research output, including publications and patents, along with patent citations.

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 .

To see if women who had breast cancer at ages 18-40 were able to successfully lactate and breastfeed after lumpectomy and radiation treatment afterwards.

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?