The goals of this research are to: (1) understand how hearing develops throughout the lifespan; (2) determine the factors associated with successful speech, language, and hearing outcomes for individuals spanning a wide range of ages and abilities; and (3) advance auditory assessment practices for both neurotypical and diverse populations.

The research study seeks to improve the effectiveness of warnings for little cigars and cigarillos (LCCs) among youth who currently use, have ever used, or are susceptible to using LCCs

This study will look at how different characteristics of people (age, income, etc.) impacts their willingness to pay higher prices for responsibly produced goods. This information will help businesses understand the effects of the increased prices associated with sustainability and responsible production, and recognize if their potential consumer base is affected.

Our study aims to understand the motivation and attitude of Telehealth participation among doctors.

We are interested in learning about current knowledge, beliefs, and behaviors related locally transmitted malaria in the United States.

We are implementing a digital health intervention, mPATH-Cloud, in one community health center. Patients who receive a link to the mPATH-Cloud website will be able to view a video designed to help them choose the colorectal cancer (CRC) screening test that is best for them. Patients who select colonoscopy will receive a referral from their primary care provider. Patients who do not select colonoscopy will receive a FIT in the mail. We will assess the feasibility and effectiveness of implementing mPATH-Cloud in combination with mailed FIT outreach for increasing CRC screening among community health center patients.

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.

Machine learning is a powerful tool for solving problems that involve a lot of data. It is being used in many different fields. The first step in creating a machine learning system is to understand what you want to achieve and then turn that goal into a plan for using machine learning. This is called problem formulation. Problem formulation is important because it not only helps you understand what you want to achieve but also helps you figure out if you have the right data to make it work. Practitioners need to try different approaches and see what works best for their data. This can take some trial and error. This study looks at a new tool designed to make problem formulation easier and see if it helps practitioners.

This research study aims to identify the national need of family medicine residency educators regarding point-of-care ultrasound (POCUS) education and resources. The study will collect data on the state of POCUS education and resources at medical universities across the country through an optional survey sent to faculty who are members of the Society of Teachers of Family Medicine. The questions in the survey focus on the respondee's level of POCUS training, use of POCUS in their day-to-day practice, and desire for different forms of POCUS content to integrate into their residency programs. The data will be collected and evaluated using Qualtrics.

The purpose of this study is to measure different immmune markers in the nasal lining in healthy patients taking Flonase, an over-the-counter steroid nasal spray.