Zobrazeno 1 - 10
of 12 504
pro vyhledávání: '"P, Townend"'
Autor:
Ijishakin, Ayodeji, Hadjasavilou, Adamos, Abdulaal, Ahmed, Montana-Brown, Nina, Townend, Florence, Spinelli, Edoardo, Fillipi, Massimo, Agosta, Federica, Cole, James, Malaspina, Andrea
Predicting survival in Amyotrophic Lateral Sclerosis (ALS) is a challenging task. Magnetic resonance imaging (MRI) data provide in vivo insight into brain health, but the low prevalence of the condition and resultant data scarcity limit training set
Externí odkaz:
http://arxiv.org/abs/2407.14191
Autor:
Wood, David A., Guilhem, Emily, Kafiabadi, Sina, Busaidi, Ayisha Al, Dissanayake, Kishan, Hammam, Ahmed, Mansoor, Nina, Townend, Matthew, Agarwal, Siddharth, Wei, Yiran, Mazumder, Asif, Barker, Gareth J., Sasieni, Peter, Ourselin, Sebastien, Cole, James H., Booth, Thomas C.
Artificial neural networks trained on large, expert-labelled datasets are considered state-of-the-art for a range of medical image recognition tasks. However, categorically labelled datasets are time-consuming to generate and constrain classification
Externí odkaz:
http://arxiv.org/abs/2405.02782
Autor:
Ijishakin, Ayodeji, Martin, Sophie, Townend, Florence, Agosta, Federica, Spinelli, Edoardo Gioele, Basaia, Silvia, Schito, Paride, Falzone, Yuri, Filippi, Massimo, Cole, James, Malaspina, Andrea
Publikováno v:
Deep Generative Models for Health Workshop, NeurIPS 2023
Brain age prediction models have succeeded in predicting clinical outcomes in neurodegenerative diseases, but can struggle with tasks involving faster progressing diseases and low quality data. To enhance their performance, we employ a semi-supervise
Externí odkaz:
http://arxiv.org/abs/2402.09137
Autor:
Walter E. Kaufmann, Alan K. Percy, Jeffrey L. Neul, Jenny Downs, Helen Leonard, Paige Nues, Girish D. Sharma, Theresa E. Bartolotta, Gillian S. Townend, Leopold M. G. Curfs, Orietta Mariotti, Claude Buda, Heather M. O’Leary, Lindsay M. Oberman, Vanessa Vogel-Farley, Katherine V. Barnes, Christopher U. Missling
Publikováno v:
Orphanet Journal of Rare Diseases, Vol 19, Iss 1, Pp 1-14 (2024)
Abstract Background Rett syndrome (RTT) is a severe X-linked neurodevelopmental disorder associated with multiple neurologic impairments. Previous studies have shown challenges to the quality of life of individuals with RTT and their caregivers. Howe
Externí odkaz:
https://doaj.org/article/9f2f215cd3a24fd58dac55f46755ce60
Autor:
Müllerová H, Chan JSK, Heatley H, Carter V, Townend J, Skinner D, Franzén S, Marshall J, Price D
Publikováno v:
International Journal of COPD, Vol Volume 19, Pp 1153-1166 (2024)
Hana Müllerová,1 Jeffrey Shi Kai Chan,2 Heath Heatley,2 Victoria Carter,2 John Townend,2 Derek Skinner,2 Stefan Franzén,3 Jonathan Marshall,4 David Price2,5 1Medical Evidence Strategy, Biopharmaceuticals R&I Medical, AstraZeneca, Cambridge, UK; 2O
Externí odkaz:
https://doaj.org/article/85d2901e5b954e70a6303ddf46958b44
Autor:
Lei Chen, Iris Moeller, Zeng Zhou, Zhan Hu, Yanan Zhang, Mengwei Chu, Yifei Jia, Ian Townend, Changkuan Zhang
Publikováno v:
Frontiers in Marine Science, Vol 11 (2024)
IntroductionTidal marsh wetlands provide essential and valuable services to the wider interconnected marine and coastal environment, although the complex intertwined processes in morphological evolution remain insufficiently understood owing to synch
Externí odkaz:
https://doaj.org/article/7883034c80cd456b973abaac7e61d21e
Publikováno v:
Engineering Applications of Computational Fluid Mechanics, Vol 18, Iss 1 (2024)
In this paper, we revisit the classical energy transport equation for pure tidal flows in estuaries by including the effects of residual water level and freshwater discharge. Starting from the one-dimensional mass and momentum conservations, we deriv
Externí odkaz:
https://doaj.org/article/ef95781eaa424800827fe3302d90b988
Publikováno v:
The Seismic Record, Vol 3, Iss 4, Pp 332-341 (2023)
This study evaluates EQTransformer, a deep learning model, for earthquake detection and phase picking using seismic data from the Southern Alps, New Zealand. Using a robust, independent dataset containing more than 85,000 manual picks from 13 station
Externí odkaz:
https://doaj.org/article/80cd39d2e84a46588c5474543949723e
Autor:
Celeste M. Porsbjerg, John Townend, Celine Bergeron, George C. Christoff, Gregory P. Katsoulotos, Désirée Larenas-Linnemann, Trung N. Tran, Riyad Al-Lehebi, Sinthia Z. Bosnic-Anticevich, John Busby, Mark Hew, Konstantinos Kostikas, Nikolaos G. Papadopoulos, Paul E. Pfeffer, Todor A. Popov, Chin Kook Rhee, Mohsen Sadatsafavi, Ming-Ju Tsai, Charlotte Suppli Ulrik, Mona Al-Ahmad, Alan Altraja, Aaron Beastall, Lakmini Bulathsinhala, Victoria Carter, Borja G. Cosio, Kirsty Fletton, Susanne Hansen, Liam G. Heaney, Richard B. Hubbard, Piotr Kuna, Ruth B. Murray, Tatsuya Nagano, Laura Pini, Diana Jimena Cano Rosales, Florence Schleich, Michael E. Wechsler, Rita Amaral, Arnaud Bourdin, Guy G. Brusselle, Wenjia Chen, Li Ping Chung, Eve Denton, Joao A. Fonseca, Flavia Hoyte, David J. Jackson, Rohit Katial, Bruce J. Kirenga, Mariko Siyue Koh, Agnieszka Ławkiedraj, Lauri Lehtimäki, Mei Fong Liew, Bassam Mahboub, Neil Martin, Andrew N. Menzies-Gow, Pee Hwee Pang, Andriana I. Papaioannou, Pujan H. Patel, Luis Perez-De-Llano, Matthew J. Peters, Luisa Ricciardi, Bellanid Rodríguez-Cáceres, Ivan Solarte, Tunn Ren Tay, Carlos A. Torres-Duque, Eileen Wang, Martina Zappa, John Abisheganaden, Karin Dahl Assing, Richard W. Costello, Peter G. Gibson, Enrico Heffler, Jorge Máspero, Stefania Nicola, Diahn-Warng Perng (Steve), Francesca Puggioni, Sundeep Salvi, Chau-Chyun Sheu, Concetta Sirena, Camille Taillé, Tze Lee Tan, Leif Bjermer, Giorgio Walter Canonica, Takashi Iwanaga, Libardo Jiménez-Maldonado, Christian Taube, Luisa Brussino, David B. Price
Publikováno v:
Frontiers in Immunology, Vol 15 (2024)
BackgroundTo date, studies investigating the association between pre-biologic biomarker levels and post-biologic outcomes have been limited to single biomarkers and assessment of biologic efficacy from structured clinical trials.AimTo elucidate the a
Externí odkaz:
https://doaj.org/article/785ec080909546459be89268c120b71f
Autor:
Isla S Mackenzie, Christopher J Hawkey, Ian Ford, Nicola Greenlaw, Filippo Pigazzani, Amy Rogers, Allan D Struthers, Alan G Begg, Li Wei, Anthony J Avery, Jaspal S Taggar, Andrew Walker, Suzanne L Duce, Rebecca J Barr, Jennifer S Dumbleton, Evelien D Rooke, Jonathan N Townend, Lewis D Ritchie, Thomas M MacDonald
Publikováno v:
Health Technology Assessment, Vol 28, Iss 18 (2024)
Abstract Background Allopurinol is a xanthine oxidase inhibitor that lowers serum uric acid and is used to prevent acute gout flares in patients with gout. Observational and small interventional studies have suggested beneficial cardiovascular effect
Externí odkaz:
https://doaj.org/article/fe11fb9eb1a34d309ffcfa360082b971