Zobrazeno 1 - 10 of 115 pro vyhledávání: '"Zhuparris A"'
1
Akademický článek
Evaluation of single-strain Prevotella histicola on KLH-driven immune responses in healthy volunteers: A randomized controlled trial with EDP1815
Autor: Mahdi Saghari, Pim Gal, Hendrika W. Grievink, Erica S. Klaassen, Ahnjili Zhuparris, Andrea Itano, Mark Bodmer, Duncan McHale, Matthijs Moerland
Publikováno v: Medicine in Microecology, Vol 19, Iss , Pp 100088- (2024)
Introduction: EDP1815 is a single-strain of Prevotella histicola with preclinical immunomodulatory properties. The aim of this study was to evaluate pharmacodynamic effects of EDP1815 on the immune response following immunization with keyhole limpet
Externí odkaz: https://doaj.org/article/7384d8fe451f4d93a0aae74c68fc89e7
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2
Akademický článek
A smartphone- and wearable-based biomarker for the estimation of unipolar depression severity
Autor: Ahnjili Zhuparris, Ghobad Maleki, Liesbeth van Londen, Ingrid Koopmans, Vincent Aalten, Iris E. Yocarini, Vasileios Exadaktylos, Albert van Hemert, Adam Cohen, Pim Gal, Robert-Jan Doll, Geert Jan Groeneveld, Gabriël Jacobs, Wessel Kraaij
Publikováno v: Scientific Reports, Vol 13, Iss 1, Pp 1-14 (2023)
Abstract Drug development for mood disorders can greatly benefit from the development of robust, reliable, and objective biomarkers. The incorporation of smartphones and wearable devices in clinical trials provide a unique opportunity to monitor beha
Externí odkaz: https://doaj.org/article/7fc77d26e65c4a94b6761c3ca90e1519
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4
Akademický článek
A smartphone- and wearable-based biomarker for the estimation of unipolar depression severity.
Autor: Zhuparris, Ahnjili1,2,3 (AUTHOR) azhuparris@chdr.nl, Maleki, Ghobad1,2 (AUTHOR), van Londen, Liesbeth4 (AUTHOR), Koopmans, Ingrid1,2 (AUTHOR), Aalten, Vincent1,5 (AUTHOR), Yocarini, Iris E.3 (AUTHOR), Exadaktylos, Vasileios1 (AUTHOR), van Hemert, Albert2 (AUTHOR), Cohen, Adam1,2 (AUTHOR), Gal, Pim1,2 (AUTHOR), Doll, Robert-Jan1 (AUTHOR), Groeneveld, Geert Jan1,2 (AUTHOR), Jacobs, Gabriël1,5 (AUTHOR), Kraaij, Wessel3 (AUTHOR)
Publikováno v: Scientific Reports. 11/1/2023, Vol. 13 Issue 1, p1-14. 14p.
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5
Akademický článek
Smartphone and Wearable Sensors for the Estimation of Facioscapulohumeral Muscular Dystrophy Disease Severity: Cross-sectional Study
Autor: Ahnjili Zhuparris, Ghobad Maleki, Ingrid Koopmans, Robert J Doll, Nicoline Voet, Wessel Kraaij, Adam Cohen, Emilie van Brummelen, Joris H De Maeyer, Geert Jan Groeneveld
Publikováno v: JMIR Formative Research, Vol 7, p e41178 (2023)
BackgroundFacioscapulohumeral muscular dystrophy (FSHD) is a progressive neuromuscular disease. Its slow and variable progression makes the development of new treatments highly dependent on validated biomarkers that can quantify disease progression a
Externí odkaz: https://doaj.org/article/c5a6cd27a6b845faade9571d311e4f24
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7
Akademický článek
Machine Learning Techniques for Developing Remotely Monitored Central Nervous System Biomarkers Using Wearable Sensors: A Narrative Literature Review.
Autor: ZhuParris, Ahnjili1,2,3 (AUTHOR) azhuparris@chdr.nl, de Goede, Annika A.1 (AUTHOR), Yocarini, Iris E.2 (AUTHOR), Kraaij, Wessel2,4 (AUTHOR), Groeneveld, Geert Jan1,2 (AUTHOR), Doll, Robert Jan1 (AUTHOR) rjdoll@chdr.nl
Publikováno v: Sensors (14248220). Jun2023, Vol. 23 Issue 11, p5243. 35p.
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8
Akademický článek
Objective Monitoring of Facioscapulohumeral Dystrophy During Clinical Trials Using a Smartphone App and Wearables: Observational Study
Autor: Ghobad Maleki, Ahnjili Zhuparris, Ingrid Koopmans, Robert J Doll, Nicoline Voet, Adam Cohen, Emilie van Brummelen, Geert Jan Groeneveld, Joris De Maeyer
Publikováno v: JMIR Formative Research, Vol 6, Iss 9, p e31775 (2022)
BackgroundFacioscapulohumeral dystrophy (FSHD) is a progressive muscle dystrophy disorder leading to significant disability. Currently, FSHD symptom severity is assessed by clinical assessments such as the FSHD clinical score and the Timed Up-and-Go
Externí odkaz: https://doaj.org/article/83e300e279f542c8b92fe47103e5e823
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9
Akademický článek
A cross-sectional study in healthy elderly subjects aimed at development of an algorithm to increase identification of Alzheimer pathology for the purpose of clinical trial participation
Autor: Samantha Prins, Ahnjili Zhuparris, Ellen P. Hart, Robert-Jan Doll, Geert Jan Groeneveld
Publikováno v: Alzheimer’s Research & Therapy, Vol 13, Iss 1, Pp 1-11 (2021)
Abstract Background In the current study, we aimed to develop an algorithm based on biomarkers obtained through non- or minimally invasive procedures to identify healthy elderly subjects who have an increased risk of abnormal cerebrospinal fluid (CSF
Externí odkaz: https://doaj.org/article/a7689931f0644552b7feafa5d357d2b7
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10
Akademický článek
Machine Learning Techniques for Developing Remotely Monitored Central Nervous System Biomarkers Using Wearable Sensors: A Narrative Literature Review
Autor: Ahnjili ZhuParris, Annika A. de Goede, Iris E. Yocarini, Wessel Kraaij, Geert Jan Groeneveld, Robert Jan Doll
Publikováno v: Sensors, Vol 23, Iss 11, p 5243 (2023)
Background: Central nervous system (CNS) disorders benefit from ongoing monitoring to assess disease progression and treatment efficacy. Mobile health (mHealth) technologies offer a means for the remote and continuous symptom monitoring of patients.
Externí odkaz: https://doaj.org/article/bacd9d144234429399130a6e0e0b0c26
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