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https://www.selleckchem.com/products/hg6-64-1.html Atrial fibrillation (AF) is the most common sustained heart arrhythmia and a major preventable cause of stroke, heart failure and dementia. AF already accounts for a significant amount of National Health Service (NHS) funding, and over the coming years is highly likely to impose a growing cost on NHS budgets and the wider UK health care system. We therefore need greater understanding of the main cost drivers (e.g. hospitalisations) of this increasingly prevalent arrhythmia. Such data would help with NHS resource planning over the next decades. Based on prior published data, we initially calculated the cost of AF for 1995, and then again for 2000 which was calculated from a combination of contemporary and extrapolated data from that time. These data have been used as the basis for forecasting AF costs in the UK and as a share of total NHS expenditure. AF direct costs were split between cost driver categories; General Practioner (GP) consultations, GP referred OPD (Out Patient Department) visits, prescriptiNHS expenditure, over the next 2 decades. If hospitalisations can be avoided or reduced, we would substantially reduce the healthcare costs of AF to the NHS. Focussing on 2020, AF is predicted to directly cost the NHS a total of a minimum of £1,435m and a maximum of £2,548m (depending on AF prevalence); hence, between 0.9-1.6% of NHS expenditure, mostly from primary admissions. The total direct costs of AF would increase to 1.35-4.27% of NHS expenditure, over the next 2 decades. If hospitalisations can be avoided or reduced, we would substantially reduce the healthcare costs of AF to the NHS. High throughput screening (HTS) is a vital automation technology in biomedical research in both industry and academia. The well-known z-factor has been widely used as a gatekeeper to assure assay quality in an HTS study. However, many researchers and users may not have realized that z-factor has major issues. In this article, t

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