The healthcare industry is undergoing a rapid transformation spurred by the advent of advanced medical diagnostic technology. IVD software development... read more
In recent years, there has been a dramatic increase in the use of digital health tools health in order to... read more
Because the electronic system referenced to in Article 73 (Eudamed) will not be ready and completely functioning on the MDR’s... read more
Assisting with the EU Medical Devices Regulation Europe faces imminent shortages of medical equipment needed by hospitals and clinicians to... read more
This paper has been prepared thanks to the task force and endorsed during the general assembly meeting. It is a... read more
To create a consistent approach to the requirements of technical documentation submissions from manufacturers, members of Team NB reviewed the... read more
Due to the usage of shared software components, #cybersecurityvulnerabilities may affect a wide variety of apparently secure unconnected products from... read more
The main purpose of this new guidance t is to create uniform expectations and understanding for Machine Learning-enabled Medical Devices... read more
Deep learning techniques using neural networks are used in medical devices to fulfill human capabilities in a variety of roles, such as: Disease prediction, detection, classification, and analysis.
MED IVD HEALTHTECH S.L ha sido beneficiaria de la subvención de contratos de trabajo de la Comunidad de Madrid, cofinanciado por el Fondo Social Europeo dentro de la Ayuda a la Recuperación para la Cohesión y los Territorios de Europa (REACT-UE), a través del Programa Operativo Regional FSE, en el marco del Programa Impulso a la Contratación Estable de Jóvenes para la Recuperación Económica, gestionado por la Dirección General del Servicio Público de empleo de la Consejería de Economía, hacienda y empleo de la Comunidad de Madrid.
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