Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Anne-Sofie Faarvang Thorsen"'
Autor:
Lasse Bach Steffensen, Xenia Emilie Sinding Iversen, Rasmus Søgaard Hansen, Pia Søndergaard Jensen, Anne-Sofie Faarvang Thorsen, Jes Sanddal Lindholt, Lars Peter Schødt Riber, Hans Christian Beck, Lars Melholt Rasmussen
Publikováno v:
Cardiovascular Diabetology, Vol 20, Iss 1, Pp 1-11 (2021)
Abstract Background Basement membrane (BM) accumulation is a hallmark of micro-vessel disease in diabetes mellitus (DM). We previously reported marked upregulation of BM components in internal thoracic arteries (ITAs) from type 2 DM (T2DM) patients b
Externí odkaz:
https://doaj.org/article/9b6a32fce91040228118855279c47007
Autor:
Jannik S. Pedersen, Martin S. Laursen, Thiusius Rajeeth Savarimuthu, Rasmus Søgaard Hansen, Anne Bryde Alnor, Kristian Voss Bjerre, Ina Mathilde Kjær, Charlotte Gils, Anne‐Sofie Faarvang Thorsen, Eline Sandvig Andersen, Cathrine Brødsgaard Nielsen, Lou‐Ann Christensen Andersen, Søren Andreas Just, Pernille Just Vinholt
Publikováno v:
Research and Practice in Thrombosis and Haemostasis, Vol 5, Iss 4, Pp n/a-n/a (2021)
Abstract Background Bleeding is associated with a significantly increased morbidity and mortality. Bleeding events are often described in the unstructured text of electronic health records, which makes them difficult to identify by manual inspection.
Externí odkaz:
https://doaj.org/article/6de9339b4f5544a5b781a5daa5293dff
Autor:
Anne-Sofie Faarvang Thorsen, Lars Peter Schødt Riber, Lars Melholt Rasmussen, Martin Overgaard
Publikováno v:
Journal of proteomics. 272
Assessment of proteins in formalin-fixed paraffin-embedded (FFPE) tissue traditionally hinges on immunohistochemistry and immunoblotting. These methods are far from optimal for quantitative studies and not suitable for large-scale testing of multiple
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d28448454a552762175d810270939617
https://pubmed.ncbi.nlm.nih.gov/36414230
https://pubmed.ncbi.nlm.nih.gov/36414230
Autor:
Xenia Emilie Sinding Iversen, Pia Søndergaard Jensen, Hans Christian Beck, Jes S. Lindholt, Lasse Bach Steffensen, Lars Riber, Rasmus Søgaard Hansen, Lars Melholt Rasmussen, Anne-Sofie Faarvang Thorsen
Publikováno v:
Cardiovascular Diabetology
Cardiovascular Diabetology, Vol 20, Iss 1, Pp 1-11 (2021)
Steffensen, L B, Iversen, X E S, Hansen, R S, Jensen, P S, Thorsen, A-S F, Lindholt, J S, Riber, L P S, Beck, H C & Rasmussen, L M 2021, ' Basement membrane proteins in various arterial beds from individuals with and without type 2 diabetes mellitus : a proteome study ', Cardiovascular Diabetology, vol. 20, no. 1, 182 . https://doi.org/10.1186/s12933-021-01375-7
Cardiovascular Diabetology, Vol 20, Iss 1, Pp 1-11 (2021)
Steffensen, L B, Iversen, X E S, Hansen, R S, Jensen, P S, Thorsen, A-S F, Lindholt, J S, Riber, L P S, Beck, H C & Rasmussen, L M 2021, ' Basement membrane proteins in various arterial beds from individuals with and without type 2 diabetes mellitus : a proteome study ', Cardiovascular Diabetology, vol. 20, no. 1, 182 . https://doi.org/10.1186/s12933-021-01375-7
Background Basement membrane (BM) accumulation is a hallmark of micro-vessel disease in diabetes mellitus (DM). We previously reported marked upregulation of BM components in internal thoracic arteries (ITAs) from type 2 DM (T2DM) patients by mass sp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7572853d18ac7767d6aaa548ee43c5b3
http://europepmc.org/articles/PMC8428091
http://europepmc.org/articles/PMC8428091
Autor:
Anne Lindegaard Christiansen, Anne-Sofie Faarvang Thorsen, Morten A. Karsdal, Lars Melholt Rasmussen, Mikael Kjær Poulsen, Diana Julie Leeming, Simone Rørdam Preil
Publikováno v:
Rørdam Preil, S, Faarvang Thorsen, A-S, Christiansen, A L, Poulsen, M K, Karsdal, M A, Leeming, D J & Rasmussen, L M 2017, ' Is cardiovascular disease in patients with diabetes associated with serum levels of MMP-2, LOX, and the elastin degradation products ELM and ELM-2? ', Scandinavian Journal of Clinical & Laboratory Investigation, vol. 77, no. 7, pp. 493-497 . https://doi.org/10.1080/00365513.2017.1346822
BACKGROUND: Diabetes mellitus type 2 (T2DM) is a significant risk factor for the development of cardiovascular diseases (CVDs). In a previous microarray study of internal mammary arteries from patients with and without T2DM, we observed several elast
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8bcb860ef147994940c9318995b3e0c3
https://doi.org/10.1080/00365513.2017.1346822
https://doi.org/10.1080/00365513.2017.1346822
Autor:
Eline Sandvig Andersen, Thiusius Rajeeth Savarimuthu, Lou-Ann Christensen Andersen, Charlotte Gils, Pernille Just Vinholt, Martin Sundahl Laursen, Anne-Sofie Faarvang Thorsen, Cathrine Brødsgaard Nielsen, Kristian Voss Bjerre, Rasmus Søgaard Hansen, Anne Alnor, Ina Mathilde Kjær, Jannik Skyttegaard Pedersen, Søren Andreas Just
Publikováno v:
Research and Practice in Thrombosis and Haemostasis
Pedersen, J S, Laursen, M S, Savarimuthu, T R, Søgaard Hansen, R, Alnor, A B, Bjerre, K V, Kjær, I M, Gils, C, Thorsen, A-S F, Sandvig Andersen, E, Nielsen, C B, Andersen, L-A C, Just, S A & Vinholt, P J 2021, ' Deep learning detects and visualizes bleeding events in electronic health records ', Research and Practice in Thrombosis and Haemostasis, vol. 5, no. 4, e12505 . https://doi.org/10.1002/rth2.12505
Research and Practice in Thrombosis and Haemostasis, Vol 5, Iss 4, Pp n/a-n/a (2021)
Pedersen, J S, Laursen, M S, Savarimuthu, T R, Søgaard Hansen, R, Alnor, A B, Bjerre, K V, Kjær, I M, Gils, C, Thorsen, A-S F, Sandvig Andersen, E, Nielsen, C B, Andersen, L-A C, Just, S A & Vinholt, P J 2021, ' Deep learning detects and visualizes bleeding events in electronic health records ', Research and Practice in Thrombosis and Haemostasis, vol. 5, no. 4, e12505 . https://doi.org/10.1002/rth2.12505
Research and Practice in Thrombosis and Haemostasis, Vol 5, Iss 4, Pp n/a-n/a (2021)
Background: Bleeding is associated with a significantly increased morbidity and mortality. Bleeding events are often described in the unstructured text of electronic health records, which makes them difficult to identify by manual inspection. Objecti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cfcf81bfeb74d853c2e7675ef70c2490
https://doi.org/10.1002/rth2.12505
https://doi.org/10.1002/rth2.12505