Predicting Outcome of Endovascular Treatment for Acute Ischemic Stroke: Potential Value of Machine Learning Algorithms

Autor: Hendrikus J. A. van Os, Lucas A. Ramos, Adam Hilbert, Matthijs van Leeuwen, Marianne A. A. van Walderveen, Nyika D. Kruyt, Diederik W. J. Dippel, Ewout W. Steyerberg, Irene C. van der Schaaf, Hester F. Lingsma, Wouter J. Schonewille, Charles B. L. M. Majoie, Silvia D. Olabarriaga, Koos H. Zwinderman, Esmee Venema, Henk A. Marquering, Marieke J. H. Wermer, the MR CLEAN Registry Investigators

Publikováno v: Frontiers in Neurology, Vol 9 (2018)

Background: Endovascular treatment (EVT) is effective for stroke patients with a large vessel occlusion (LVO) of the anterior circulation. To further improve personalized stroke care, it is essential to accurately predict outcome after EVT. Machine l

Externí odkaz: https://doaj.org/article/8cce69a862c041278574bf4341923564

Analyzing type 2 diabetes associations with the gut microbiome in individuals from two ethnic backgrounds living in the same geographic area

Autor: Manon Balvers, Mélanie Deschasaux, Evgeni Levin, Koos H. Zwinderman, Bert-Jan H. van den Born, Max Nieuwdorp

Publikováno v: Nutrients, 13(9):3289. Multidisciplinary Digital Publishing Institute (MDPI)
Nutrients, Vol 13, Iss 3289, p 3289 (2021)
Nutrients
Volume 13
Issue 9

It is currently unknown whether associations between gut microbiota composition and type 2 diabetes (T2D) differ according to the ethnic background of individuals. Thus, we studied these associations in participants from two ethnicities characterized

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ffe7fe2223845255694436e0e6ea237d
https://doi.org/10.3390/nu13093289

In Search for the Genetic Basis of Quality of Life in Healthy Swedish Women--A GWAS Study Using the iCOGS Custom Genotyping Array.

Autor: Dounya Schoormans, Hatef Darabi, Jingmei Li, Yvonne Brandberg, Mikael Eriksson, Koos H Zwinderman, Mirjam A G Sprangers, Per Hall

Publikováno v: PLoS ONE, Vol 10, Iss 10, p e0140563 (2015)

Quality of life (QoL) is increasingly measured in both research and clinical practice. QoL-assessments are built on a long, empirically-based, and stringent approach. There is ample evidence that QoL is, in part, heritable. We therefore performed a G

Externí odkaz: https://doaj.org/article/38df1550adbb4c05a49ac841c79aa66a

Accuracy of cytokeratin 18 (M30 and M65) in detecting non-alcoholic steatohepatitis and fibrosis: A systematic review and meta-analysis

Autor: Quentin M. Anstee, Yasaman Vali, Patrick M.M. Bossuyt, Kevin L. Duffin, Jenny Lee, M. Julia Brosnan, Mohammad Hadi Zafarmand, Jérôme Boursier, Koos H. Zwinderman, Joanne Verheij

Publikováno v: PLoS ONE, Vol 15, Iss 9 (2020)
PLoS ONE, Vol 15, Iss 9, p e0238717 (2020)
PLoS ONE
PLoS ONE, Public Library of Science, 2020, 15 (9), pp.e0238717. ⟨10.1371/journal.pone.0238717⟩
PLoS ONE, 15(9 September):e0238717. Public Library of Science
PLOS ONE

IntroductionAssociation between elevated cytokeratin 18 (CK-18) levels and hepatocyte death has made circulating CK-18 a candidate biomarker to differentiate non-alcoholic fatty liver from non-alcoholic steatohepatitis (NASH). Yet studies produced va

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9c0eb6c6c178ce476f9f65f03d87e05c
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7485872/?tool=EBI

SOURCE: Prediction models for overall survival in patients with metastatic and potentially curable esophageal and gastric cancer

Autor: Tom Rozema, Suzanne S. Gisbertz, Marije Slingerland, Mirjam A. G. Sprangers, Nadia Haj Mohammad, Ameen Abu-Hanna, Martijn G.H. van Oijen, Laurens V. Beerepoot, Bastiaan R. Klarenbeek, Héctor G. van den Boorn, Hanneke W. M. van Laarhoven, Maarten C.C.M. Hulshof, Koos H. Zwinderman, Rob H.A. Verhoeven

Publikováno v: Journal of the national comprehensive cancer network, 19(4), 403-410. Cold Spring Publishing LLC
van den Boorn, H C G, Abu-Hanna, A, Haj Mohammad, N, Hulshof, M C C M, Gisbertz, S S, Klarenbeek, B R, Slingerland, M, Beerepoot, L V, Rozema, T, Sprangers, M A G, Verhoeven, R H A, van Oijen, M G H, Zwinderman, K H & van Laarhoven, H W M 2021, ' SOURCE: Prediction Models for Overall Survival in Patients With Metastatic and Potentially Curable Esophageal and Gastric Cancer ', Journal of the national comprehensive cancer network, vol. 19, no. 4, pp. 403-410 . https://doi.org/10.6004/jnccn.2020.7631
Journal of the National Comprehensive Cancer Network, 19(4), 403-410. Cold Spring Publishing LLC

Background: Personalized prediction of treatment outcomes can aid patients with cancer when deciding on treatment options. Existing prediction models for esophageal and gastric cancer, however, have mostly been developed for survival prediction after

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b7595d85192df0aa31c23eda1524f994
https://doi.org/10.1200/jco.2020.38.4_suppl.301