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otoacoustic emissions) will be recorded before and after exposure, and the cochlea will be examined with super-resolution imaging techniques that can visualise structures as small as 50 nm. This will reveal
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Cantini, works at the interface of machine learning and biology (tools developed by the team: https://github.com/cantinilab ). The team is composed of 9 people : 4PhD students, 3 post doc, 1 research
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regeneration; iii) develop functional tests allowing a differential assessment of tip link break in humans experiencing TTS. The work plan is structured as follows: Characterise tip link damage following TTS
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