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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.
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.
A pilot study, the purpose of which is to use accelerometers to quantify UE use (1 and two hand use) in healthy controls and people post-stroke from which the investigators will develop use-based feedback to improve recovery in the home setting. The objectives of this pilot study are to: i.) determine the feasibility of using accelerometers to quantify amount of UE use in the home setting in healthy individuals and individuals chronic post-stroke, ii.) quantify and compare the unilateral activity of the weaker (paretic) versus stronger (non-paretic) UEs, iii.) quantify and compare amount of UE use in healthy controls to that of people chronic post-stroke (side matched unimanual use for each arm and bilateral use) in the home, and iv.) assess the effect of a few sessions of in-home accelerometer used-based feedback on unilateral and bilateral UE use. v.) assess kinematic, kinetic, and EMG data during UE movements bilaterally and between healthy controls and subjects post-chronic stroke pre and post feedback (for the people after stroke).
The iCaRe2 is a multi-institutional resource created and maintained by the Fred & Pamela Buffett Cancer Center to collect and manage standardized, multi-dimensional, longitudinal data and biospecimens on consented adult cancer patients, high-risk individuals, and normal controls. The distinct characteristic of the iCaRe2 is its geographical coverage, with a significant percentage of small and rural hospitals and cancer centers. The iCaRe2 advances comprehensive studies of risk factors of cancer development and progression and enables the design of novel strategies for prevention, screening, early detection and personalized treatment of cancer. Centers with expertise in cancer epidemiology, genetics, biology, early detection, and patient care can collaborate by using the iCaRe2 as a platform for cohort and population studies.
The aim of the present study is to assess the availability of cannabinoid receptors (CB1R) in the human brain. CB1R are present in everyone's brain, regardless of whether or not someone has used cannabis. The investigators will image brain cannabinoid receptors using Positron Emission Tomography (PET) imaging and the radioligand OMAR, in healthy individuals and several conditions including 1) cannabis use disorders, 2) psychotic disorders, 3) prodrome of psychotic illness and 4) individuals with a family history of alcoholism, 5) Post-Traumatic Stress Disorder 6) Opioid Use Disorder using the PET imaging agent or radiotracer, [11C]OMAR. This will allow us to characterize the number and distribution of CB1R in these conditions. It is likely that the list of conditions will be expanded after the collection of pilot data and as new data on cannabinoids receptor function and psychiatric disorders becomes available. Those in the cannabis us disorder arm of the study will have a PET scan on at least three occasions: once while smoking as usual, once after 48-hours of abstinence from cannabis, and a final time after 4 weeks of abstinence. Additional scans may be conducted within the 4 weeks and the last scan may be conducted well beyond 4 weeks. Similarly, while most schizophrenia patients may get scanned just once, a subgroup of patients may get scanned more than once. For example to tease out the effects of medications, unmedicated patients may get scanned while unmedicated and again after treatment with antipsychotic medications. Similarly prodromes may get scanned while in the prodromal stage off medications, on medications and after conversion to schizophrenia.