There are about 173942 clinical studies being (or have been) conducted in United States. The country of the clinical trial is determined by the location of where the clinical research is being studied. Most studies are often held in multiple locations & countries.
The aim of this study is to evaluate the pharmacokinetic (PK) profile of vonoprazan (10 or 20 mg once daily [QD]) in children ≥ 6 to < 12 years of age who have symptomatic Gastroesophageal Reflux Disease (GERD).
This will be a single-center, single-blind, four-cohort, 22-day ambulatory study during which up to 24 healthy adult subjects [6 smokers (SMK), 6 moist snuff consumers (MSC), 6 vapers (VAP), and 6 non-tobacco consumers (NTC)] will complete 3 measurements of lung permeability. Nasal epithelial cells, sputum, and blood samples will also be collected for current and future biomarker research.
The main objectives of this study were to test if 2 different doses of Cannabidiol (compared to placebo) alter 1) breath alcohol concentration, 2) craving and subjective responses to alcohol or 3) cognitive performance following a standard dose of alcohol.
A randomized, double blind, placebo-controlled trial assessing the immediate impact of non-caffeinated supplements on energy levels and associated health outcomes
Open label study to assess 12 weeks of add-on VTAMA® (tapinarof) Cream, 1% QD in patients with ≥3% BSA who have received biologic therapy for at least 24 weeks.
The goal of this study was to evaluate the accuracy of pulse oximeters over the range of 70-100% per ISO 80601-2-61:2019. Four devices were placed on each subject with two on each index finger at the base and two on each index finger at the fingertip. SpO2 measurements from these devices were compared to sampling of arterial blood during brief stable oxygen desaturation in healthy volunteers to evaluate the claimed range.
Open-label, randomized controlled trial to determine the effect of preoperative acupuncture on preoperative anxiety and postoperative pain for high-anxiety patients undergoing total hip or knee arthroplasty. The hypothesis is that preoperative acupuncture will reduce preoperative anxiety, reduce postoperative pain, reduce postoperative nausea and vomiting, reduce opioid consumption, and improve patient satisfaction.
Artificial intelligence (AI) shows promising in identifying abnormalities in clinical images. However, systematically biased AI models, where a model makes inaccurate predictions for entire subpopulations, can lead to errors and potential harms. When shown incorrect predictions from an AI model, clinician diagnostic accuracy can be harmed. This study aims to study the effectiveness of providing clinicians with image-based AI model explanations when provided AI model predictions to help clinicians better understand the logic of an AI model's prediction. It will evaluate whether providing clinicians with AI model explanations can improve diagnostic accuracy and help clinicians catch when models are making incorrect decisions. As a test case, the study will focus on the diagnosis of acute respiratory failure because determining the underlying causes of acute respiratory failure is critically important for guiding treatment decisions but can be clinically challenging. To determine if providing AI explanations can improve clinician diagnostic accuracy and alleviate the potential impact of showing clinicians a systematically biased AI model, a randomized clinical vignette survey study will be conducted. During the survey, study participants will be shown clinical vignettes of patients hospitalized with acute respiratory failure, including the patient's presenting symptoms, physical exam, laboratory results, and chest X-ray. Study participants will then be asked to assess the likelihood that heart failure, pneumonia and/or Chronic Obstructive Pulmonary Disease (COPD) is the underlying diagnosis. During specific vignettes in the survey, participants will also be shown standard or systematically biased AI models that provide an estimate the likelihood that heart failure, pneumonia and/or COPD is the underlying diagnosis. Clinicians will be randomized see AI predictions alone or AI predictions with explanations when shown AI models. This survey design will allow for testing the hypothesis that systematically biased models would harm clinician diagnostic accuracy, but commonly used image-based explanations would help clinicians partially recover their performance.
Approximately 30 soft toric contact lens adapted subjects will be enrolled in this feasibility, bilateral, randomized, double masked (subject and investigator masked), repeated measures insertion study. All subjects will be seen for a Screening/Dispensing Visit at which informed consent will be obtained and eligibility will be assessed. If subjects satisfy all eligibility criteria and none of the exclusion criteria, subjects will have study lenses inserted in random, successive order according to unique randomization schedules that will be provided to each Investigator.
The goal of this clinical trial is to learn about the impact of taking a continuous performance attention test on the physiological stress response in college students. The main questions it aims to answer are: - Does taking an attention test cause participants to have increases in heart rate, blood pressure, and sweat? - Does taking an attention test cause participants to have a decrease in heart rate variability? - Are there relationships between participants' levels of anxiety, perceived stress, and mindfulness to their physiological changes? Participants will - Answer questionnaires about anxiety, stress, and mindfulness - Have baseline measurements taken for blood pressure, sweat, and heart rate variability - Take the PEBL Continuous Performance Task (a 14 minute attention test) while having the measurements listed above taken again