Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Neal Na"'
Autor:
Zhaozhi Qian, Thomas Callender, Bogdan Cebere, Sam M. Janes, Neal Navani, Mihaela van der Schaar
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Synthetic data promise privacy-preserving data sharing for healthcare research and development. Compared with other privacy-enhancing approaches—such as federated learning—analyses performed on synthetic data can be applied downstream wi
Externí odkaz:
https://doaj.org/article/7630251e41d64bfea3d915e53a907c70
Autor:
Anthony Edey, Neal Navani, Andrew W Creamer, Kitty Chan, Graham Robinson, Janine Zylstra, Paul Robinson, Laura Green, Anand Devaraj, Jane Rowlands, Allan Hackshaw, Carolyn Horst, Arjun Nair, Sam M Janes, Kate Davies, Jeannie Eng, Mamta Ruparel, Samantha L Quaife, Jennifer L Dickson, Magali Taylor, Angshu Bhowmik, Karen Sennett, Samantha Quaife, Samuel Janes, Hasti Robbie, Joseph Jacob, Laura Farrelly, Sophie Tisi, Andrew Creamer, Helen Hall, Samanjit Hare, Jon Teague, Thea Buchan, Stephen Ellis, Thomas Callender, Rachael Sarpong, John McCabe, Zaheer Mangera, Ethaar El-Emir, Terry O'Shaughnessy, Nick Screaton, Priyam Verghese, William M Ricketts, Anne-Marie Mullin, Vicky Bowyer, Kylie Gyertson, Fanta Bojang, Claire Levermore, Ruth Prendecki, Amyn Bhamani, Malavika Suresh, Judy Airebamen, Alice Cotton, Kaylene Phua, Elodie Murali, Simranjit Mehta, Karen Parry-Billings, Columbus Ife, April Neville, Zahra Hanif, Helen Kiconco, Ricardo McEwen, Dominique Arancon, Nicholas Beech, Derya Ovayolu, Christine Hosein, Sylvia Patricia Enes, Qin April Neville, Aashna Samson, Urja Patel, Fahmida Hoque, Hina Pervez, Sofia Nnorom, Moksud Miah, Julian McKee, Mark Clark, Anant Patel, Sara Lock, Rajesh Banka, Ugo Ekeowa, Charlotte Cash, Tunku Aziz, Alberto Villanueva, Elena Stefan, Charlie Sayer, Navinah Nundlall, Lyndsey Gallagher, Andrew Crossingham, Tanita Limani, Kate Gowers, James Rusius, Jennifer Dickson, Anne-Marie Hacker, Jonathon Teague, Andrew Perugia TaniaAnastasiadis
Publikováno v:
BMJ Open Respiratory Research, Vol 10, Iss 1 (2023)
Background Pulmonary and extrapulmonary incidental findings are frequently identified on CT scans performed for lung cancer screening. Uncertainty regarding their clinical significance and how and when such findings should be reported back to clinici
Externí odkaz:
https://doaj.org/article/692746dcaaef4d76b3535374a9068d7e
Autor:
Thomas Callender, Fergus Imrie, Bogdan Cebere, Nora Pashayan, Neal Navani, Mihaela van der Schaar, Sam M Janes
Publikováno v:
PLoS Medicine, Vol 20, Iss 10, p e1004287 (2023)
BackgroundRisk-based screening for lung cancer is currently being considered in several countries; however, the optimal approach to determine eligibility remains unclear. Ensemble machine learning could support the development of highly parsimonious
Externí odkaz:
https://doaj.org/article/3d7e460834c849d589a72d4c6071daa8
Autor:
Matthew Evison, Ross Maconachie, Toby Mercer, Caitlin H. Daly, Nicky J. Welton, Shahzeena Aslam, Doug West, Neal Navani
Publikováno v:
ERJ Open Research, Vol 9, Iss 2 (2023)
Introduction There is a critical need to understand the optimal treatment regimen in patients with potentially resectable stage III-N2 nonsmall cell lung cancer (NSCLC). Methods A systematic review of randomised controlled trials was carried out usin
Externí odkaz:
https://doaj.org/article/338c66f9def04e37aca2ed05fd8ff94d
Autor:
Benjamin Hunter, Mitchell Chen, Prashanthi Ratnakumar, Esubalew Alemu, Andrew Logan, Kristofer Linton-Reid, Daniel Tong, Nishanthi Senthivel, Amyn Bhamani, Susannah Bloch, Samuel V. Kemp, Laura Boddy, Sejal Jain, Shafick Gareeboo, Bhavin Rawal, Simon Doran, Neal Navani, Arjun Nair, Catey Bunce, Stan Kaye, Matthew Blackledge, Eric O. Aboagye, Anand Devaraj, Richard W. Lee
Publikováno v:
EBioMedicine, Vol 86, Iss , Pp 104344- (2022)
Summary: Background: Large lung nodules (≥15 mm) have the highest risk of malignancy, and may exhibit important differences in phenotypic or clinical characteristics to their smaller counterparts. Existing risk models do not stratify large nodules
Externí odkaz:
https://doaj.org/article/e2d6538ee7914ff2b7186d71189097c6
Autor:
John Heck, Brian R. Koch, Haisheng Rong, Robert Beatty, Tao Yin, Neal Na, Lior Horwitz, Roi Bar, Ansheng Liu, Mike Morse, Andrew Alduino, Dror Lazar, Ling Liao, Kevin Sullivan, Brian H. Kim, Hai-Feng Liu, Christine Krause, Richard Jones, Frederic Haubensack, Rushdy Saba, Mathew N. Sysak, Olufemi I. Dosunmu, Wei-Zen Lo, Juthika Basak, I-Wei Hsieh, Jock Bovington, Mario J. Paniccia, Stas Litski
Publikováno v:
CLEO:2011 - Laser Applications to Photonic Applications.
We demonstrate a 4λx12.5Gbps Silicon Photonics CWDM link integrating all optical components, electronics, and packaging technologies required to form the link.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::749e1e22321cb5de63f9fcddf53a9a2e
https://doi.org/10.1364/cleo_si.2011.cthp5
https://doi.org/10.1364/cleo_si.2011.cthp5
Autor:
Muhammad Adeel Asghar, Muhammad Jamil Khan, Humayun Shahid, Mohammad Shorfuzzaman, Neal Naixue Xiong, Raja Majid Mehmood
Publikováno v:
IEEE Access, Vol 9, Pp 13378-13389 (2021)
In this article, we propose a novel feature selection method based on hybrid neural networks for emotional classification avoiding expensive computation. With the development of neural networks for machine learning tools, the Electroencephalogram (EE
Externí odkaz:
https://doaj.org/article/bec51c1642ec44bba6f2e0f6a1bf619a
Publikováno v:
IEEE Access, Vol 9, Pp 88391-88404 (2021)
Currently, with the rapid development and broad application of cloud computing technology, companies tend to use cloud services to build their applications or business systems. Selecting a trustworthy cloud service is a challenging multi-criteria dec
Externí odkaz:
https://doaj.org/article/c9c7581cc4f14e3e86701fb16031d0e6
Autor:
Helen Fowler, Aurelien Belot, Libby Ellis, Camille Maringe, Miguel Angel Luque-Fernandez, Edmund Njeru Njagi, Neal Navani, Diana Sarfati, Bernard Rachet
Publikováno v:
BMC Cancer, Vol 20, Iss 1, Pp 1-15 (2020)
Abstract Background The presence of comorbidity affects the care of cancer patients, many of whom are living with multiple comorbidities. The prevalence of cancer comorbidity, beyond summary metrics, is not well known. This study aims to estimate the
Externí odkaz:
https://doaj.org/article/5f0278b453db48f78b90733205cc40ee
Publikováno v:
IEEE Access, Vol 8, Pp 125826-125848 (2020)
Blockchain, a type of a decentralized network system that allows mutually distrustful parties to transact securely without involving third parties, has recently been attracting increasing attention. Hence, there must be a consensus mechanism to ensur
Externí odkaz:
https://doaj.org/article/35ec32a358ce42c394faf04c98fa99dc