Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Ulrika Axelsson"'
Autor:
Katarina Velickovic, Ingalill Rahm Hallberg, Ulrika Axelsson, Carl A. K. Borrebaeck, Lisa Rydén, Per Johnsson, Johanna Månsson
Publikováno v:
Health and Quality of Life Outcomes, Vol 18, Iss 1, Pp 1-10 (2020)
Abstract Background The Connor-Davidson Resilience Scale (CD-RISC) is the most widely used scale which assesses psychological resilience. Although it is recommended to be applied as a unidimensional scale, its factor structure, reliability, as well a
Externí odkaz:
https://doaj.org/article/7a39e11d11ff49c38f569fdc3649fdda
Autor:
Ulrika Axelsson, Lisa Rydén, Per Johnsson, Patrik Edén, Johanna Månsson, Ingalill Rahm Hallberg, Carl A. K. Borrebaeck
Publikováno v:
BMC Cancer, Vol 18, Iss 1, Pp 1-7 (2018)
Abstract Background Individual patients differ in their psychological response when receiving a cancer diagnosis, in this case breast cancer. Given the same disease burden, some patients master the situation well, while others experience a great deal
Externí odkaz:
https://doaj.org/article/181f1a28116044fba640fa2cc56a357c
Autor:
Damiano Verardo, Leena Liljedahl, Corinna Richter, Björn Agnarsson, Ulrika Axelsson, Christelle N. Prinz, Fredrik Höök, Carl A. K. Borrebaeck, Heiner Linke
Publikováno v:
Nanomaterials, Vol 11, Iss 1, p 227 (2021)
Fluorescence-based detection assays play an essential role in the life sciences and medicine. To offer better detection sensitivity and lower limits of detection (LOD), there is a growing need for novel platforms with an improved readout capacity. In
Externí odkaz:
https://doaj.org/article/26a43d59beb24f4e9b90939e3db5454f
Autor:
Trang Le, Casper F. Winsnes, Ulrika Axelsson, Hao Xu, Jayasankar Mohanakrishnan Kaimal, Diana Mahdessian, Shubin Dai, Ilya S. Makarov, Vladislav Ostankovich, Yang Xu, Eric Benhamou, Christof Henkel, Roman A. Solovyev, Nikola Banić, Vito Bošnjak, Ana Bošnjak, Andrija Miličević, Wei Ouyang, Emma Lundberg
Publikováno v:
Nature Methods. 19:1221-1229
While spatial proteomics by fluorescence imaging has quickly become an essential discovery tool for researchers, fast and scalable methods to classify and embed single-cell protein distributions in such images are lacking. Here, we present the design
Autor:
Antje M Barreveld, Maria L Rosén Klement, Sophia Cheung, Ulrika Axelsson, Jade I Basem, Anika S Reddy, Carl A K Borrebaeck, Neel Mehta
Publikováno v:
Pain Medicine.
Objective To investigate how a behavioral health, artificial intelligence (AI)-powered, digital self-management tool affects the daily functions in adults with chronic back and neck pain. Design Eligible subjects were enrolled in a 12-week prospectiv
Autor:
Diana Mahdessian, Fredrik Pontén, Mathias Uhlén, Manuel D. Leonetti, Fredric Johansson, Anna Bäckström, Christian Gnann, Frida Danielsson, Emma Lundberg, Lovisa Stenström, Peter Thul, Adil Mardinoglu, Nathan H. Cho, Cheng Zhang, Rutger Shutten, Devin P. Sullivan, Charlotte Stadler, Oana Carja, Trang Le, Ulrika Axelsson, Cecilia Lindskog, Anthony J. Cesnik, Muhammad Arif, Burcu Ayoglu
Publikováno v:
Nature. 590:649-654
The cell cycle, over which cells grow and divide, is a fundamental process of life. Its dysregulation has devastating consequences, including cancer1-3. The cell cycle is driven by precise regulation of proteins in time and space, which creates varia
Autor:
Jayasankar Mohanakrishnan Kaimal, Marianna Tampere, Trang H. Le, Ulrika Axelsson, Hao Xu, Hanna Axelsson, Anna Bäckström, Francesco Marabita, Elisabeth Moussaud-Lamodière, Duncan Njenda, Carolina Oses Sepulveda, Wei Oyuang, Brinton Seashore-Ludlow, Caroline Vernersson, Ali Mirazimi, Emma Lundberg, Päivi Östling, Charlotte Stadler
The COVID-19 pandemic has resulted in millions of deaths and affected socioeconomic structure worldwide and the search for new antivirals and treatments are still ongoing. In the search for new drug target and to increase our understanding of the dis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::354b80c109bb08fd18d805957e9388a7
https://doi.org/10.1101/2022.03.29.482838
https://doi.org/10.1101/2022.03.29.482838
Autor:
Diana Mahdessian, Anthony J. Cesnik, Christian Gnann, Frida Danielsson, Lovisa Stenström, Muhammad Arif, Cheng Zhang, Trang Le, Fredric Johansson, Rutger Schutten, Anna Bäckström, Ulrika Axelsson, Peter Thul, Nathan H. Cho, Oana Carja, Mathias Uhlén, Adil Mardinoglu, Charlotte Stadler, Cecilia Lindskog, Burcu Ayoglu, Manuel D. Leonetti, Fredrik Pontén, Devin P. Sullivan, Emma Lundberg
Publikováno v:
Nature. 608:E32-E32
Autor:
Ulrika Axelsson, Lisa Theorin, Venera Kuci Emruli, David E. Neal, Hans Lilja, Carl A.K. Borrebaeck, Jenny L Donovan, Anders Bjartell, Leena Liljedahl, Freddie C. Hamdy, Corinna Richter
Publikováno v:
Proteomics Clin Appl
Emruli, V K, Liljedahl, L, Axelsson, U, Richter, C, Theorin, L, Bjartell, A, Lilja, H, Donovan, J, Neal, D, Hamdy, F C & Borrebaeck, C A K 2021, ' Identification of a serum biomarker signature associated with metastatic prostate cancer ', Proteomics-Clinical applications, vol. 15, no. 2-3, 2000025 . https://doi.org/10.1002/prca.202000025
Emruli, V K, Liljedahl, L, Axelsson, U, Richter, C, Theorin, L, Bjartell, A, Lilja, H, Donovan, J, Neal, D, Hamdy, F C & Borrebaeck, C A K 2021, ' Identification of a serum biomarker signature associated with metastatic prostate cancer ', Proteomics-Clinical applications, vol. 15, no. 2-3, 2000025 . https://doi.org/10.1002/prca.202000025
Purpose Improved early diagnosis and determination of aggressiveness of prostate cancer (PC) is important to select suitable treatment options and to decrease over-treatment. The conventional marker is total prostate specific antigen (PSA) levels in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6ed6df37a9c8d999c94e92b9ed925f05
https://europepmc.org/articles/PMC9310707/
https://europepmc.org/articles/PMC9310707/
Autor:
Damiano Verardo, Leena Liljedahl, Corinna Richter, Björn Agnarsson, Ulrika Axelsson, Christelle N. Prinz, Fredrik Höök, Carl A.K. Borrebaeck, Heiner Linke
Publikováno v:
Nanomaterials
Nanomaterials, Vol 11, Iss 227, p 227 (2021)
Nanomaterials, Vol 11, Iss 227, p 227 (2021)
Fluorescence-based detection assays play an essential role in the life sciences and medicine. To offer better detection sensitivity and lower limits of detection (LOD), there is a growing need for novel platforms with an improved readout capacity. In