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3D printed biomimetic cochleae and machine learning co-modelling provides clinical informatics for cochlear implant patients

Authors :
Iek Man Lei
Chen Jiang
Chon Lok Lei
Simone Rosalie de Rijk
Yu Chuen Tam
Chloe Swords
Michael P. F. Sutcliffe
George G. Malliaras
Manohar Bance
Yan Yan Shery Huang
Source :
Nature Communications, Vol 12, Iss 1, Pp 1-12 (2021)
Publication Year :
2021
Publisher :
Nature Portfolio, 2021.

Abstract

Current spread hampers the efficacy of neuromodulation, while existing animal, in vitro and in silico models have failed to give patient-centric insights. Here the authors employ 3D printing and machine learning to advance clinical predictions of current spread for cochlear implant patients.

Subjects

Subjects :
Science

Details

Language :
English
ISSN :
20411723
Volume :
12
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
edsdoj.91a5e5087d504ecb9eebf57f3522862c
Document Type :
article
Full Text :
https://doi.org/10.1038/s41467-021-26491-6