Zobrazeno 1 - 10
of 961
pro vyhledávání: '"Jödicke, A"'
Electrical contact resistance or capacitance as measured between a lubricated contact has been used in tribometers, partially reflecting the lubrication condition. In contrast, the electrical impedance provides rich information of magnitude and phase
Externí odkaz:
http://arxiv.org/abs/2307.03668
People with diabetes must carefully monitor their blood glucose levels, especially after eating. Blood glucose regulation requires a proper combination of food intake and insulin boluses. Glucose prediction is vital to avoid dangerous post-meal compl
Externí odkaz:
http://arxiv.org/abs/2307.01238
Autor:
Junqing Xie, Kim López-Güell, Daniel Dedman, Talita Duarte-Salles, Raivo Kolde, Raúl López-Blasco, Álvaro Martínez, Gregoire Mercier, Alicia Abellan, Johnmary T. Arinze, Zara Cuccu, Antonella Delmestri, Dominique Delseny, Sara Khalid, Chungsoo Kim, Ji-woo Kim, Kristin Kostka, Cora Loste, Lourdes Mateu, Miguel A. Mayer, Jaime Meléndez-Cardiel, Núria Mercadé-Besora, Mees Mosseveld, Akihito Nishimura, Hedvig M.E. Nordeng, Jessie O. Oyinlola, Laura Pérez-Crespo, Marta Pineda-Moncusí, Juan Manuel Ramírez-Anguita, Nhung T.H. Trinh, Anneli Uusküla, Bernardo Valdivieso, Theresa Burkard, Edward Burn, Martí Català, Daniel Prieto-Alhambra, Roger Paredes, Annika M. Jödicke
Publikováno v:
EClinicalMedicine, Vol 77, Iss , Pp 102903- (2024)
Summary: Background: The World Health Organisation (WHO) has identified a range of symptomatic manifestations to aid in the clinical diagnosis of post-COVID conditions, herein referred to as post-acute COVID-19 symptoms. We conducted an international
Externí odkaz:
https://doaj.org/article/41ca16d311eb411c92a2edb0c11ad190
Autor:
Yuchen Guo, Victoria Y. Strauss, Martí Català, Annika M. Jödicke, Sara Khalid, Daniel Prieto-Alhambra
Publikováno v:
Frontiers in Pharmacology, Vol 15 (2024)
IntroductionMachine learning (ML) methods are promising and scalable alternatives for propensity score (PS) estimation, but their comparative performance in disease risk score (DRS) estimation remains unexplored.MethodsWe used real-world data compari
Externí odkaz:
https://doaj.org/article/65fc2185c85141768cf41c5157d243fa
Publikováno v:
In: Moreno-Diaz, R., Pichler, F., Quesada-Arencibia, A. (eds) Computer Aided Systems Theory EUROCAST 2022. Lecture Notes in Computer Science, vol 13789
Describing dynamic medical systems using machine learning is a challenging topic with a wide range of applications. In this work, the possibility of modeling the blood glucose level of diabetic patients purely on the basis of measured data is describ
Externí odkaz:
http://arxiv.org/abs/2209.13852
Autor:
Junqing Xie, Beatriz Mothe, Marta Alcalde Herraiz, Chunxiao Li, Yu Xu, Annika M. Jödicke, Yaqing Gao, Yunhe Wang, Shuo Feng, Jia Wei, Zhuoyao Chen, Shenda Hong, Yeda Wu, Binbin Su, Xiaoying Zheng, Catherine Cohet, Raghib Ali, Nick Wareham, Daniel Prieto Alhambra
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-11 (2024)
Abstract The rapid global distribution of COVID-19 vaccines, with over a billion doses administered, has been unprecedented. However, in comparison to most identified clinical determinants, the implications of individual genetic factors on antibody r
Externí odkaz:
https://doaj.org/article/f5c1a6aafc9b4ee18cd32bbbff208828
Autor:
Nicola L. Barclay, Marti Català, Annika M. Jödicke, Daniel Prieto-Alhambra, Danielle Newby, Antonella Delmestri, Wai Yi Man, Àlvar Roselló Serrano, Marta Pineda Moncusí
Publikováno v:
Therapeutic Advances in Medical Oncology, Vol 16 (2024)
Background: The COVID-19 pandemic affected cancer screening, diagnosis and treatments. Many surgeries were substituted with bridging therapies during the initial lockdown, yet consideration of treatment side effects and their management was not a pri
Externí odkaz:
https://doaj.org/article/21724a26fdac43dea16682388de74a75
Autor:
Xie, Junqing, López-Güell, Kim, Dedman, Daniel, Duarte-Salles, Talita, Kolde, Raivo, López-Blasco, Raúl, Martínez, Álvaro, Mercier, Gregoire, Abellan, Alicia, Arinze, Johnmary T., Cuccu, Zara, Delmestri, Antonella, Delseny, Dominique, Khalid, Sara, Kim, Chungsoo, Kim, Ji-woo, Kostka, Kristin, Loste, Cora, Mateu, Lourdes, Mayer, Miguel A., Meléndez-Cardiel, Jaime, Mercadé-Besora, Núria, Mosseveld, Mees, Nishimura, Akihito, Nordeng, Hedvig M.E., Oyinlola, Jessie O., Pérez-Crespo, Laura, Pineda-Moncusí, Marta, Ramírez-Anguita, Juan Manuel, Trinh, Nhung T.H., Uusküla, Anneli, Valdivieso, Bernardo, Burkard, Theresa, Burn, Edward, Català, Martí, Prieto-Alhambra, Daniel, Paredes, Roger, Jödicke, Annika M.
Publikováno v:
In eClinicalMedicine November 2024 77
Autor:
Nicola L. Barclay, Marta Pineda Moncusí, Annika M. Jödicke, Daniel Prieto-Alhambra, Berta Raventós, Danielle Newby, Antonella Delmestri, Wai Yi Man, Xihang Chen, Marti Català
Publikováno v:
Frontiers in Oncology, Vol 14 (2024)
IntroductionThe COVID-19 pandemic had collateral effects on many health systems. Cancer screening and diagnostic tests were postponed, resulting in delays in diagnosis and treatment. This study assessed the impact of the pandemic on screening, diagno
Externí odkaz:
https://doaj.org/article/9a8ec2f8dd9049b2af82ecf5c71fee58
The adjoint method allows efficient calculation of the gradient with respect to the design variables of a topology optimization problem. This method is almost exclusively used in combination with traditional Finite-Element-Analysis, whereas Fourier-b
Externí odkaz:
http://arxiv.org/abs/2107.04123