A consortium led by the MútuaTerrassa Teaching and Research Foundation aims to promote two studies to extract scientific indicators that anticipate and improve the health of people suffering from chronic diseases
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Two URV research groups have created a machine learning model that may reduce the time needed to develop drugs against new viruses.
A hydroalcoholic gel with a QR code enables people to access to a test that assesses their ability to identify the smell of the product and eight symptoms of the disease. Using artificial intelligence techniques, it instantly evaluates the risk of having Covid. The first prototype of this system is being used in the Emergency Department of Hospital Sant Joan de Reus
A research group of the Universitat Rovira i Virgili, led by Professor Domènec Puig, classifies types of breast cancer and predicts the likelihood of metastasis
Developed by a research team from the URV and the UOC, this tool was designed so that users of psychotropic drugs could have access to mechanisms of participation and take co-responsibility for their treatment
This finding will make it possible to personalise treatments and in some cases find alternatives to operations that involve significant aesthetic and physical damage that reduces the patient’s quality of life.
The URV-IISPV researcher Òscar Yanes has taken part in this research, which aims to improve the response of these cancer cells to a treatment that is already used for other illnesses
07/11/2022
Disarming the body’s defenders
Study shows how certain cancers neutralize T cells to subvert the immune system and help tumours grow
The children of mothers who have a low socio-economic status, primary school education and a non-Mediterranean diet had poorer results in verbal skills tests.
The molecule found makes possible an early diagnosis of whether a patient is at greater risk of suffering health complications as a result of this disease. The study has been led by a research group from the URV and the IISPV.