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Researchers from the Polytechnic University of Cartagena (UPCT) are selecting and evolving neural networks to develop an application capable of discerning in chest X-rays and CT scans whether patients with symptoms of pneumonia are infected by COVID-19.The Rector of the UPCT, Beatriz Miguel, and the Minister of Employment, Research and Universities, Miguel Motas, visited one of the UPCT laboratories where the research is taking place this afternoon.The Seneca Foundation of the Region of Murcia finances with 10,000 euros, within its COVI + D program, this project, which has the recommendation of the Carlos III Health Institute.The project 'A deep-learning solution for the automatic determination of COVID-19 in chest medical images' is being developed, under the direction of Juan Zapata, by the research group in Development of Electrical and Microelectronic Circuits and Systems, whose responsible is Ginés Doménech.The rector and counselor have also visited the UPCT's Industrial Design and Calculation Service, which has produced 80,000 protection screens and other protection elements for toilets during the pandemic, while also developing isotopes for the PCR that are being evaluated as a medical device.The tests with the respirator for Covid19 patients, whose manufacturing process in the Region has developed the UPCT, has also been among the biomedical projects of the Polytechnic that the counselor Motas has known today.
Source: UPCT
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