Can artificial intelligence accelerate the diagnosis of inherited retinal diseases? Protocol for a data-only retrospective cohort study (Eye2Gene)

Autor: Sagnik Sen, Michel Michaelides, Andrew R Webster, Konstantinos Balaskas, Kaoru Fujinami, Manuel Gomes, Nikolas Pontikos, Susan M Downes, Malena Daich Varela, Omar A Mahroo, Thales Antonio Cabral de Guimaraes, Stephen Archer, Gavin Arno, Mital Shah, Savita Madhusudhan, Quang Nguyen, William Woof, Nathaniel Kabiri, Dayyanah Sumodhee, Ismail Moghul, Saoud Al-Khuzaei, Yichen Liu, Catherine Hollyhead, Bhavna Tailor, Loy Lobo, Carl Veal, Jennifer Furman

Publikováno v: BMJ Open, Vol 13, Iss 3 (2023)

Introduction Inherited retinal diseases (IRD) are a leading cause of visual impairment and blindness in the working age population. Mutations in over 300 genes have been found to be associated with IRDs and identifying the affected gene in patients b

Externí odkaz: https://doaj.org/article/5945d6aef20f41bfa056c55a51aabb6a

Eye2Gene: prediction of causal inherited retinal disease gene from multimodal imaging using deep-learning

Autor: Nikolas Pontikos, William Woof, Advaith Veturi, Behnam Javanmardi, Miguel Ibarra-Arellano, Alexander Hustinx, Ismail Moghul, Yichen Liu, Kristina Heß, Michalis Georgiou, Maximilian Pfau, Mital Shah, Jing Yu, Saoud Al-Khuzaei, Siegfried Wagner, Malena Daich Varela, Thales Cabral de Guimarães, Sagnik Sen, Nathaniel Kabiri, Quang Nguyen, Jennifer Furman, Bart Liefers, Aaron Lee, Samantha De Silva, Caio Texeira, Fabiana Motta, Yu Fujinami-Yokokawa, Gavin Arno, Kaoru Fujinami, Juliana Sallum, Savita Madhusudhan, Susan Downes, Frank Holz, Konstantinos Balaskas, Andrew Webster, Omar Mahroo, Peter Krawitz, Michel Michaelides

Rare eye diseases such as inherited retinal diseases (IRDs) are challenging to diagnose genetically. IRDs are typically monogenic disorders and represent a leading cause of blindness in children and working-age adults worldwide. A growing number are

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::984dbc3b763aed3cdc1f03becb82400b
https://doi.org/10.21203/rs.3.rs-2110140/v1

Learning to Play General Video-Games via an Object Embedding Network

Autor: William Woof, Ke Chen

Publikováno v: Woof, W & Chen, K 2018, Learning to Play General Video-Games via an Object Embedding Network . in Proceedings of the 2018 IEEE Conference on Computational Intelligence and Games, CIG 2018 . vol. 2018-August, 8490438, IEEE Computer Society, 14th IEEE Conference on Computational Intelligence and Games, CIG 2018, Maastricht, Netherlands, 14/08/18 . https://doi.org/10.1109/cig.2018.8490438
CIG

Deep reinforcement learning (DRL) has proven to be an effective tool for creating general video-game AI. However most current DRL video-game agents learn end-to-end from the video-output of the game, which is superfluous for many applications and cre

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e97925bbc47d34199e25024ce8e8b59b
http://arxiv.org/abs/1803.05262

Legislating against corruption in international markets

Autor: William Woof, Wesley Cragg

Publikováno v: Routledge Contemporary Economic Policy Issues ISBN: 9780415234467
The Political Economy of Corruption

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c88654ef5e2787133a526d88fd37e778
https://doi.org/10.4324/9780203468388.ch9