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iCARE4CVD: International Research Collaboration Aims to Personalise Prevention and Treatment of Cardiovascular Diseases

iCARE4CVD: International Research Collaboration Aims to Personalise Prevention and Treatment of Cardiovascular Diseases
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International Research Collaboration Aims to Personalise Prevention and Treatment of Cardiovascular Diseases

International Research Collaboration Aims to Personalise Prevention and Treatment of Cardiovascular Diseases
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Artificial intelligence identifies the tiger mosquito from photos in the Mosquito Alert

 E-Mail Researchers from Mosquito Alert (who belong to CEAB-CSIC, CREAF and UPF) together with researchers from the University of Budapest have shown that an artificial intelligence algorithm is capable of recognizing the tiger mosquito (Aedes albopictus) in the photos sent by Mosquito Alert users. The results of the study published in Scientific Reports have been obtained by applying deep learning technology or deep learning, an aspect of artificial intelligence that seeks to emulate the way of learning of humans and that has previously been used in the health field to interpret medical images (X-rays of patients with COVID19 to detect pneumonia, or facial features to detect heart disease, among others). Deep learning needs a lot of training data for the machine to learn.

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