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Improving Primary Ciliary Dyskinesia Diagnosis Using Artificial Intelligence

Published online by Cambridge University Press:  30 July 2020

Andreia do Nascimento Pinto ,
Laurens Hogeweg ,
Ioannis Katramados ,
Oliver Hamilton ,
Amelia Shoemark ,
Thomas Burgoyne  and
Claire Hogg
Andreia do Nascimento Pinto
Affiliation:
Royal Brompton Hospital, London, England, United Kingdom
Laurens Hogeweg
Affiliation:
Cosmonio, Cranfield, England, United Kingdom
Ioannis Katramados
Affiliation:
Cosmonio, Cranfield, England, United Kingdom
Oliver Hamilton
Affiliation:
Cosmonio, Cranfield, England, United Kingdom
Amelia Shoemark
Affiliation:
Royal Brompton Hospital, London, England, United Kingdom
Thomas Burgoyne
Affiliation:
Royal Brompton Hospital, London, England, United Kingdom
Claire Hogg
Affiliation:
Royal Brompton Hospital, London, England, United Kingdom

Abstract

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Type
Advances in Modeling, Simulation, and Artificial Intelligence in Microscopy and Microanalysis for Physical and Biological Systems
Information
Microscopy and Microanalysis , Volume 26 , Supplement S2 , August 2020 , pp. 2132
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Copyright
Copyright © Microscopy Society of America 2020

References

Shoemark, Amelia, et al. . Primary ciliary dyskinesia with normal ultrastructure: three-dimensional tomography detects absence of DNAH11. European Respiratory Journal 2018 51: 1701809; DOI: 10.1183/13993003.01809-201710.1183/13993003.01809-2017CrossRefGoogle ScholarPubMed