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One in three asthmatic patients are misdiagnosed. This was all the motivation FJSL laureate and I-FEST 2 silver medal recipient Elias Fizesan, 16, needed to create a device that analyses coughing patterns using machine learning algorithms to diagnose asthmatic patients.  Fizesan is among the laureates representing Luxembourg at several international competitions, most recently presenting his project at the world’s biggest youth science competition, Regeneron International Science and Engineering Fair (ISEF), where he won the third prize in the biomedical engineering category.  Can you tell us about the device you created, and why this project matters to you?  Elias Fizesan: Basically, I created a device that can be attached to the chest of a patient that a doctor suspects might have asthma. This device monitors the patient’s breathing vibrations and can diagnose the patient by analysing these vibrations through some algorithms. Aside [from] all the worrying respirator

Elias fizesanRegeneron international scienceEngineering fairபொறியியல் நியாயமான