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To establish a reference range, the Clinical and Laboratory Standards Institute (CLSI) recommends testing at least 120 patient samples. In contrast, for the verification of a reference range, it is recommended to use a total of 40 samples, 20 from healthy men and 20 from healthy women, and the results should be compared to the published reference range.
Regulation (EU) 2017/745 is a regulation of the European Union on the clinical investigation and placing on the market of medical devices for human use. It repealed Directive 93/42/EEC on Medical Devices (MDD) and Directive 90/385/EEC on active implantable medical devices (AIMDD).
American Intellectual Property Law Association (AIPLA) - Patent Registry Scams; Australian Patent Office - Warning!Unsolicited IP Services; Belgian Patent Office - Warning to inventors about fraudulent registration services, in (in Dutch) or (in French) (with link to a Decision of January 14, 2005 of a Belgian Appeal Court (Brussels, R.G. 2003/AR/2192 and 2003/AR/2356) (pdf) - in French)
The Unique Device Identification (UDI) System is intended to assign a unique identifier to medical devices within the United States, Europe, China, South Korea, Saudi Arabia and Taiwan. [1] It was signed into law in the US on September 27, 2007, as part of the Food and Drug Administration Amendments Act (Section 226) of 2007 .
A GAO follow-up study in 1989 concluded that despite full implementation of the Medical Device Reporting (MDR) regulation, serious shortcomings still existed. Under the Safe Medical Devices Act of 1990 (SMDA), device user facilities must report device-related deaths to the FDA and the manufacturer, if known. The facilities must also report ...
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The Medical Device Directive—Council Directive 93/42/EEC of 14 June 1993 concerning medical devices—is intended to harmonise the laws relating to medical devices within the European Union. The MD Directive is a 'New Approach' Directive and consequently in order for a manufacturer to legally place a medical device on the European market the ...
Bayesian learning neural network is implemented for credit card fraud detection, telecommunications fraud, auto claim fraud detection, and medical insurance fraud. [ 13 ] Hybrid knowledge/statistical-based systems, where expert knowledge is integrated with statistical power, use a series of data mining techniques for the purpose of detecting ...