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Hearing in noise
For more than a century, hearing aids have mostly been fitted based on hearing threshold data, as measured by the audiogram. Together with their partners, IRU has developed a novel diagnostic test for identifying people’s ability to hear in noise and create a better foundation for their hearing aid fitting.


Machine learning
Besides looking for clinical pains that we can help to solve, we are also monitoring what’s going on in the research world to seek inspiration for new projects. One of the big hot topics is machine learning, which IRU is beginning to investigate , e.g., together with Ph.D. students. You can find one of these projects in the link below.
Improved fitting in infants
A core theme for IRU is to improve validations of fittings in infants that are too young for behavioral hearing testing. In collaboration with the University of Manchester, IRU has investigated a new method - the Aided Cortical test - to validate hearing aids in infants that are 3 to 7 months of age.



