View clinical trials related to Healthy Control.
Filter by:Study group: Experimental study to evaluate empathy, compassion, and nature connectedness before and after an immersive virtual reality experience in patients with depressive disorder, patients with psychotic disorder and healthy control subjects (subjects between 18 and 65 years of age). Primary hypothesis: The increase in nature connectedness explored by virtual body ownership of a tree in VR differs depending on the health condition (schizophrenia, depression, healthy controls).
The goal of this research study is to examine the endocannabinoid (eCB) function in vivo in individuals with opioid use disorder (OUD) by measuring cannabinoid receptor 1 (CB1R) availability.
Back pain affects one-third of the UK population every year with a huge impact on the health service and economy. The aim of this study is to test the validity of a computer-vision (CV) technology that uses cameras on phones/tablets/webcams to assess a person's movement and function with the ultimate goal to use the CV system to screen for back pain conditions. Participants with and without back pain will be included in the study and they will be asked to perform standard functional movements that would be used for a physiotherapy assessment for a back condition. The participants will also perform these movements in front of a camera for video recordings to be analysed by the CV system. The measurements by the CV system will be compared to the measurements by the physiotherapist. Additionally, participants will perform and record videos of the same set of movements at home to test the feasibility of the CV system in a home environment.
This study will characterize the clinical pharmacology of a select bioactive polyphenol-rich preparation (Bioactive Dietary Polyphenol Preparation, BDPP) comprised of a select Concord grape juice (CGJ), a select grape seed polyphenol extract (GSPE) and trans-resveratrol (RSV).
1. Develop a wearable sensor package to gather data on COVID-19-like signs and symptoms such as elevated body temperature, respiratory parameters, heart rate ,cough and gait. 2. Create algorithms to monitor and track changes to COVID19-like signs and symptoms for developing a better care and isolation strategies for COVID-19 pandemic.
Significant increase in the levels of serum adiponectin, ADA, and hsCRP was reported in all RA patients compared to controls. Compared to patients with early RA, the increase in these markers significantly correlated with disease activity (DAS-ESR), lower f-BMD, radiographic scoring, pain, FFI, and functional limitations in patients with established RA. Adiponectin showed a negative correlation with serum levels of both ADA and hsCRP. By using ROC curve analysis, optimal cut-off values of adiponectin (28.8 µg/ml), ADA (27.3 IU/L), and hsCRP (1.6 mg/L) could be used to estimate early RA in 45 % of the patients. Similarly, using cut-off values of adiponectin (32.8 µg/ml), ADA (26.1 IU/L ml), and hsCRP (2.5 mg/L), established RA could be predicted in 55 % of patients with 98-99% accuracy.
The comprehensive analysis of health records, TCM constitution, biomarker, and whole-genome sequencing among dry eye syndrome, healthy control, Sjögren's syndrome and other inflammation disease in Taiwan: an integrated analysis between Taiwan Biobank and Sjögren's syndrome Database
NIH Precision Medicine Initiative, started in May 2018, will enroll one million people through an online portal. It hopes to identify genetic variants affecting a variety of human phenotypic outcomes. A giant set of data like this may enable an association of genetic variants with a certain phenotype. However, the association is often compromised due to the collection of phenotypic data that is not well controlled or standardized creating "noisy" data. These phenotypic "noises" can be largely eliminated in clinical studies with stringent criteria and standardization of outcome measurements. In this study, by looking mainly at genetic information and nerve conduction speed, we hope to eliminate the extra "noises" in the data set. Eliminating the extra "noises" should allow us to be able to determine if there are genetic differences between neurological disorders and healthy controls, and if these genetic differences can be attributed to the speed of the nerve conduction.
The research project includes two components that assess exercise physiology parameters, cerebrovascular reserve, cognitive functions and cardiac function in coronary heart disease patients at rest, during an acute exercise, and after two different periodized training programs.
There is growing evidence that central blood pressure is a better predictor of hypertensive end-organ damage and cardiovascular outcome than routine brachial readings. The investigators aimed to evaluate the accuracy of a novel device for the non-invasive determination of central blood pressure based on automated oscillometric radial pulse wave analysis.