To explore people with lived and living experience (PWLLE) of opioid use and/or taking methadone on the feasibility of and interest in pharmacy-centered methadone access at rural community pharmacies. The model for which we will elicit PWLLE perspectives parallels several similar successful programs that exist outside of the US and several successful small-scale pilots that have been conducted in urban areas of the US, including NC.

Hunter Syndrome or Mucopolysaccharidosis II (MPS II) is a rare genetic disorder caused by decreased levels of a specific enzyme, iduronate-2-sulfatase. Lack of this enzyme causes buildup of large sugar molecules called glycosaminoglycans (GAGs). The build up of GAGs causes significant damage to the body and brain. This extension study is evaluating the long-term safety and efficacy of JR-141, an enzyme replacement therapy, to provide the missing enzyme to the body. This allows for break down of the stored GAGs. JR-141 uses specific technology to cross the blood brain barrier so that the enzyme can get into the brain. JR-141 is expected to help both the cognitive (brain) and body effects of MPS II.

To study the how well Pembrolizumab works on advanced tumors

The purpose of this study is to examine healthcare workers' perspectives on compassion fatigue and how it correlates with caring for patients engaged in extended hospital admissions. Specifically, it will examine how healthcare providers perceive the psychological and emotional toll of caring for patients over an extended period of time, whether they are in recovery or declining, and how that affects their job satisfaction and their ability to provide high-quality care.

Allow learners to practice nerve blocks

The purpose of this research study is to see how displaying different types of information may help users when conducting procedural knowledge information-seeking tasks using a search interface.

The purpose of this study is to understand how the T32 Trainees Pre and Postdoctorals students manage their overall experience within the training program.

There are multiple devices that have been developed and approved to help treat heart failure symptoms, yet some patients who qualify for these devices are denied authorization by their insurance. We look to describe trends across the United States.

As machine learning is accepted as one of the most powerful tools to solve problems that involve a large amount of data, more and more application areas started to explore and adopt machine learning methods into their workflows. The first step of developing a machine learning model is to determine the target variable, i.e. what to predict. For instance, if a practitioner wants to develop a model to assist hiring decisions, he/she may choose a candidate's performance score as the prediction target to train the machine learning model. In practice, practitioners need to experiment and evaluate a large set of potential target variables until they reach a satisfactory one. We would like to automate the evaluation of target variables and recommend good ones to the users. The purpose of this study is to understand how different recommendation strategies influence the target selection process.