Alfons Carnicero Carmona has been recognized as MIT Innovator Under 35 Europe 2022 by MIT Technology Review EmTech Europe. The awards span advancements in a wide range of fields such as biotechnology, medicine, electronics, hardware, artificial intelligence, and robotics. In this case, the award recognizes the amazing work of the AbleHumanMotion team creating the next generation of light and accessible exoskeleton technology.
Last Monday 2nd, CREB UPC received a visit from the Danish Technological Institute (DTI), the main technological center of Denmark. Their visit was motivated by the search for synergies and collaboration between both institutions. It was a pleasure to have such a complete delegation, which was very interested in our ability to valorize our investigation and bring it into the market. We also took advantage of the visit to explain our strategy for generating spinoffs in CREB UPC, exposing our work methodology through Xartec Salut Venture Builder.
La compañía está especializada en la realización de pruebas ARNm y, con la financiación recibida, pretende llevar a cabo un ensayo clínico orientado a pacientes obesos para obtener el marcado CE, a la vez que refuerza el área B2B de la compañía. El funcionamiento de las pruebas de Exheus se fundamenta sobre el análisis de sangre. Estas pruebas son capaces de secuenciar el ARNm, detectar los biomarcadores y definir de forma más individualizada el funcionamiento del organismo del usuario.
The 11th edition of Conference on New Technologies for Computer and Robot Assisted Surgery (CRAS) took place from April 25-27, 2022, at Centro Congressi Federico II in Napoli, Italy. CRAS aims to support and propose concrete measures to accelerate research and innovation in Robotic Surgery, which is a key factor for the introduction of new surgical procedures not feasible otherwise, as well as for improving current procedures by providing new assistive tools that allow achieving more precision and higher surgical performances.
First, it was used to predict the chances of children and teenagers suffering from anxiety or depression. The outbreak of COVID19 brought a new opportunity: anticipating the length of patients' stay in intensive care, the probability of suffering from long-term effects, and even the mortality. It also proved to help identify patients who suffer from COVID19 from those who do not. In the long run, this predictive model could be used with a wide range of pathologies and improve hospitals' management efficiency.