Correction: Machine learning for predicting neurodegenerative diseases in the general older population: a cohort study by Gloria A. Aguayo, Lu Zhang, Michel Vaillant, Moses Ngari, Magali Perquin, Valerie Moran, Laetitia Huiart, Rejko Krüger, Francisco Azuaje, Cyril Ferdynus, Guy Fagherazzi

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Non-Coding RNAs in the Brain-Heart Axis: The Case of Parkinson’s Disease by Shubhra Acharya, Antonio Salgado-Somoza, Francesca Maria Stefanizzi, Andrew I. Lumley, Lu Zhang, Enrico Glaab, Patrick May, Yvan Devaux

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Vocal biomarker predicts fatigue in people with COVID-19: results from the prospective Predi-COVID cohort study by Lu Zhang, Guy Fagherazzi, Aurélie Fischer, Gloria Aguayo, Abir Elbéji, Eduardo Higa, Vladimir Despotovic, Petr V Nazarov

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Impact of IDH Mutations, the 1p/19q Co-Deletion and the G-CIMP Status on Alternative Splicing in Diffuse Gliomas by Lu Zhang, Sabrina Fritah, Petr V. Nazarov, Tony Kaoma, Eric Van Dyck

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Correction: Circular RNAs to predict clinical outcome after cardiac arrest by Francesca M. Stefanizzi, Lu Zhang, Antonio Salgado-Somoza, Josef Dankiewicz, Pascal Stammet, Christian Hassager, Matthew P. Wise, Hans Friberg, Tobias Cronberg, Alexander Hundt, Jesper Kjaergaard, Niklas Nielsen, Yvan Devaux

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<i>GATA3</i> as a Blood-Based RNA Biomarker for Idiopathic Parkinson’s Disease by Shubhra Acharya, Andrew I. Lumley, Lu Zhang, Mélanie Vausort, Yvan Devaux, on behalf of the NCER-PD Consortium

“…The present study is a cross-sectional, case-control study, with samples obtained from the Luxembourg Parkinson’s cohort (LuxPARK). iPD (N = 319) patients, along with age-matched controls without PD (non-PD; N = 319) were included in this study. …”
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FIMICS: A panel of long noncoding RNAs for cardiovascular conditions by Huseyin Firat, Lu Zhang, Shounak Baksi, Przemyslaw Leszek, Eric Schordan, Samir Ounzain, Jan Kottwitz, Dimitri Patriki, Bettina Heidecker, Thomas F. Lüscher, Thierry Pedrazzini, Yvan Devaux

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Circulating Levels of Brain-Enriched MicroRNAs Correlate with Neuron Specific Enolase after Cardiac Arrest—A Substudy of the Target Temperature Management Trial by Francesca Maria Stefanizzi, Niklas Nielsen, Lu Zhang, Josef Dankiewicz, Pascal Stammet, Patrik Gilje, David Erlinge, Christian Hassager, Matthew P. Wise, Michael Kuiper, Hans Friberg, Yvan Devaux, Antonio Salgado-Somoza

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Machine learning for predicting neurodegenerative diseases in the general older population: a cohort study by Gloria A. Aguayo, Lu Zhang, Michel Vaillant, Moses Ngari, Magali Perquin, Valerie Moran, Laetitia Huiart, Rejko Krüger, Francisco Azuaje, Cyril Ferdynus, Guy Fagherazzi

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A Machine Learning Model Based on microRNAs for the Diagnosis of Essential Hypertension by Amela Jusic, Inela Junuzovic, Ahmed Hujdurovic, Lu Zhang, Mélanie Vausort, Yvan Devaux

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Circular RNAs to predict clinical outcome after cardiac arrest by Francesca M. Stefanizzi, Lu Zhang, Antonio Salgado-Somoza, Josef Dankiewicz, Pascal Stammet, Christian Hassager, Matthew P. Wise, Hans Friberg, Tobias Cronberg, Alexander Hundt, Jesper Kjaergaard, Niklas Nielsen, Yvan Devaux

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Association of miR-144 levels in the peripheral blood with COVID-19 severity and mortality by Alisia Madè, Simona Greco, Melanie Vausort, Marios Miliotis, Eric Schordan, Shounak Baksi, Lu Zhang, Ekaterina Baryshnikova, Marco Ranucci, Rosanna Cardani, Guy Fagherazzi, Markus Ollert, Spyros Tastsoglou, Giannis Vatsellas, Artemis Hatzigeorgiou, Hüseyin Firat, Yvan Devaux, Fabio Martelli

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The circadian clock remains intact, but with dampened hormonal output in heart failureResearch in context by Sandra Crnko, Markella I. Printezi, Peter-Paul M. Zwetsloot, Laurynas Leiteris, Andrew I. Lumley, Lu Zhang, Isabelle Ernens, Tijn P.J. Jansen, Lilian Homsma, Dries Feyen, Martijn van Faassen, Bastiaan C. du Pré, Carlo A.J.M. Gaillard, Hans Kemperman, Marish I.F.J. Oerlemans, Pieter A.F.M. Doevendans, Anne M. May, Nicolaas P.A. Zuithoff, Joost P.G. Sluijter, Yvan Devaux, Linda W. van Laake

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HCG18, LEF1AS1 and lncCEACAM21 as biomarkers of disease severity in the peripheral blood mononuclear cells of COVID-19 patients by Simona Greco, Alisia Made’, Martina Mutoli, Lu Zhang, Santiago Nicolas Piella, Mélanie Vausort, Andrew I. Lumley, Antonio Paolo Beltrami, Prashant Kumar Srivastava, Valentina Milani, Sara Boveri, Marco Ranucci, Laura Valentina Renna, Hüseyin Firat, Antonino Bruno, Gaia Spinetti, Costanza Emanueli, Yvan Devaux, Fabio Martelli

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RNA modification m6Am: the role in cardiac biology by Daniel Benak, Frantisek Kolar, Lu Zhang, Yvan Devaux, Marketa Hlavackova

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Discovery and Analytical Validation of a Vocal Biomarker to Monitor Anosmia and Ageusia in Patients With COVID-19: Cross-sectional Study by Eduardo Higa, Abir Elbéji, Lu Zhang, Aurélie Fischer, Gloria A Aguayo, Petr V Nazarov, Guy Fagherazzi

“…They were adults (aged >18 years) who were confirmed by a polymerase chain reaction test to be positive for COVID-19 in Luxembourg and met the inclusion criteria. Statistical methods such as recursive feature elimination for dimensionality reduction, multiple statistical learning methods, and hypothesis tests were used throughout this study. …”
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