Zobrazeno 1 - 10
of 1 756
pro vyhledávání: '"Faisal AA"'
Autor:
Mantel P; Indo-Pacific Centre for Health Security, Department of Foreign Affairs and Trade, Canberra, Australia., Vasoo S; Department of Infectious Diseases, Tan Tock Seng Hospital, Singapore.; National Centre for Infectious Diseases, Singapore., Cruz R; Quezon City Health Department, Manila, Philippines., De Assis D; South America Regional Network, Training Programs in Epidemiology and Public Health Interventions Network (TEPHINET), Brasília, Distrito Federal, Brazil.; Tropical Medicine Research Centre, University of Brasília, Distrito Federal, Brazil., Faisal AA; Directorate of Surveillance and Health Quarantine, Ministry of Health, Jakarta, Indonesia., Jaime H; Regional Office for South Asia, United Nations Children's Fund (UNICEF), Kathmandu, Nepal., Rijal KR; Central Department of Microbiology, Tribhuvan University, Kirtipur, Kathmandu, Nepal., Salmon S; Indo-Pacific Centre for Health Security, Department of Foreign Affairs and Trade, Canberra, Australia.; World Health Organization Regional Office for the Western Pacific, Manila, Philippines.; UNSW Medicine and Health, School of Population Health, University of New South Wales, Sydney, Australia., Basseal JM; Sydney Infectious Diseases Institute, Faculty of Medicine and Health, University of Sydney, Sydney, Australia.
Publikováno v:
Western Pacific surveillance and response journal : WPSAR [Western Pac Surveill Response J] 2024 Aug 08; Vol. 15 (5 Spec edition), pp. 1-3. Date of Electronic Publication: 2024 Aug 08 (Print Publication: 2024).
Autor:
Nagendran M; UKRI Centre for Doctoral Training in AI for Healthcare, Imperial College London, London, UK.; Division of Anaesthetics, Pain Medicine, and Intensive Care, Imperial College London, London, UK.; Brain and Behaviour Lab, Imperial College London, London, UK., Festor P; UKRI Centre for Doctoral Training in AI for Healthcare, Imperial College London, London, UK.; Brain and Behaviour Lab, Imperial College London, London, UK.; Department of Computing, Imperial College London, London, UK., Komorowski M; Division of Anaesthetics, Pain Medicine, and Intensive Care, Imperial College London, London, UK., Gordon AC; Division of Anaesthetics, Pain Medicine, and Intensive Care, Imperial College London, London, UK., Faisal AA; UKRI Centre for Doctoral Training in AI for Healthcare, Imperial College London, London, UK. a.faisal@imperial.ac.uk.; Brain and Behaviour Lab, Imperial College London, London, UK. a.faisal@imperial.ac.uk.; Department of Computing, Imperial College London, London, UK. a.faisal@imperial.ac.uk.; Institute of Artificial & Human Intelligence, University of Bayreuth, Bayreuth, Germany. a.faisal@imperial.ac.uk.
Publikováno v:
NPJ digital medicine [NPJ Digit Med] 2024 Aug 02; Vol. 7 (1), pp. 202. Date of Electronic Publication: 2024 Aug 02.
Autor:
Catling FJR; Institute of Healthcare Engineering, University College London, London, United Kingdom.; Division of Anaesthetics, Pain Medicine, and Intensive Care, Imperial College London, London, United Kingdom., Nagendran M; Division of Anaesthetics, Pain Medicine, and Intensive Care, Imperial College London, London, United Kingdom.; UKRI Centre for Doctoral Training in AI for Healthcare, Imperial College London, London, United Kingdom., Festor P; UKRI Centre for Doctoral Training in AI for Healthcare, Imperial College London, London, United Kingdom.; Department of Computing, Imperial College London, London, United Kingdom., Bien Z; School of Life Course & Population Sciences, King's College London, United Kingdom., Harris S; Department of Critical Care, University College London Hospital, London, United Kingdom.; Institute of Health Informatics, University College London, London, United Kingdom., Faisal AA; UKRI Centre for Doctoral Training in AI for Healthcare, Imperial College London, London, United Kingdom.; Department of Computing, Imperial College London, London, United Kingdom.; Institute of Artificial and Human Intelligence, Universität Bayreuth, Bayreuth, Germany.; Department of Bioengineering, Imperial College London, London, United Kingdom., Gordon AC; Division of Anaesthetics, Pain Medicine, and Intensive Care, Imperial College London, London, United Kingdom., Komorowski M; Division of Anaesthetics, Pain Medicine, and Intensive Care, Imperial College London, London, United Kingdom.
Publikováno v:
Critical care explorations [Crit Care Explor] 2024 May 06; Vol. 6 (5), pp. e1087. Date of Electronic Publication: 2024 May 06 (Print Publication: 2024).
Autor:
Kadirvelu, B, Bellido Bel, T, Wu, X, Burmester, V, Ananth, S, Cabral C C Branco, B, Girela-Serrano, B, Gledhill, J, Di Simplicio, M, Nicholls, D, Faisal, AA
BACKGROUND: Children and young people's mental health is a growing public health concern, which is further exacerbated by the COVID-19 pandemic. Mobile health apps, particularly those using passive smartphone sensor data, present an opportunity to ad
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1032::eabe36ca276853878fa5b9ffc65fd986
http://hdl.handle.net/10044/1/105143
http://hdl.handle.net/10044/1/105143
Autor:
Han J; Brain & Behaviour Lab, Department of Computing, Imperial College London, London SW7 2AZ, United Kingdom., Wei X; Brain & Behaviour Lab, Department of Computing, Imperial College London, London SW7 2AZ, United Kingdom., Faisal AA; Brain & Behaviour Lab, Department of Computing, Imperial College London, London SW7 2AZ, United Kingdom.; Chair in Digital Health & Data Science, University of Bayreuth, 95447 Bayreuth, Germany.
Publikováno v:
Journal of neural engineering [J Neural Eng] 2023 Dec 12; Vol. 20 (6). Date of Electronic Publication: 2023 Dec 12.
Autor:
Nagendran M; UKRI Centre for Doctoral Training in AI for Healthcare, Imperial College London, London, UK.; Division of Anaesthetics, Pain Medicine, and Intensive Care, Imperial College London, London, UK.; Brain and Behaviour Lab, Imperial College London, London, UK., Festor P; UKRI Centre for Doctoral Training in AI for Healthcare, Imperial College London, London, UK.; Brain and Behaviour Lab, Imperial College London, London, UK.; Department of Computing, Imperial College London, London, UK., Komorowski M; Division of Anaesthetics, Pain Medicine, and Intensive Care, Imperial College London, London, UK., Gordon AC; Division of Anaesthetics, Pain Medicine, and Intensive Care, Imperial College London, London, UK., Faisal AA; UKRI Centre for Doctoral Training in AI for Healthcare, Imperial College London, London, UK. a.faisal@imperial.ac.uk.; Brain and Behaviour Lab, Imperial College London, London, UK. a.faisal@imperial.ac.uk.; Department of Computing, Imperial College London, London, UK. a.faisal@imperial.ac.uk.; Institute of Artificial & Human Intelligence, University of Bayreuth, Bayreuth, Germany. a.faisal@imperial.ac.uk.
Publikováno v:
NPJ digital medicine [NPJ Digit Med] 2023 Nov 07; Vol. 6 (1), pp. 206. Date of Electronic Publication: 2023 Nov 07.
Autor:
Honeyford, K, Expert, P, Mendelsohn, EE, Post, B, Faisal, AA, Glampson, B, Mayer, EK, Costelloe, CE
Publikováno v:
Frontiers in digital health. 4
Harnessing Real World Data is vital to improve health care in the 21st Century. Data from Electronic Health Records (EHRs) are a rich source of patient centred data, including information on the patient's clinical condition, laboratory results, diagn
Publikováno v:
IEEE ... International Conference on Rehabilitation Robotics : [proceedings] [IEEE Int Conf Rehabil Robot] 2023 Sep; Vol. 2023, pp. 1-6.
Autor:
Wannawas N, Faisal AA
Publikováno v:
IEEE ... International Conference on Rehabilitation Robotics : [proceedings] [IEEE Int Conf Rehabil Robot] 2023 Sep; Vol. 2023, pp. 1-6.
Intuitive and efficient physical human-robot collaboration relies on the mutual observability of the human and the robot, i.e. the two entities being able to interpret each other's intentions and actions. This is remedied by a myriad of methods invol
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1032::e4cc9f7205b9e333b8133a7e665bb025
http://hdl.handle.net/10044/1/97148
http://hdl.handle.net/10044/1/97148