Zobrazeno 1 - 10
of 3 993
pro vyhledávání: '"Kors, A."'
Autor:
John, Luis H., Kim, Chungsoo, Kors, Jan A., Chang, Junhyuk, Morgan-Cooper, Hannah, Desai, Priya, Pang, Chao, Rijnbeek, Peter R., Reps, Jenna M., Fridgeirsson, Egill A.
Background: Conventional prediction methods such as logistic regression and gradient boosting have been widely utilized for disease onset prediction for their reliability and interpretability. Deep learning methods promise enhanced prediction perform
Externí odkaz:
http://arxiv.org/abs/2410.10505
Autor:
Evers, E., Kopteva, N. E., Nedelea, V., Kors, A., Kaur, R., Reithmaier, J. P., Benyoucef, M., Bayer, M., Greilich, A.
We report measurements of the longitudinal and transverse spin relaxation times of holes in an ensemble of self-assembled InAs/InAlGaAs quantum dots (QDs), emitting in the telecom spectral range. The spin coherence of a single carrier is determined u
Externí odkaz:
http://arxiv.org/abs/2311.03047
Autor:
Luis H. John, Egill A. Fridgeirsson, Jan A. Kors, Jenna M. Reps, Ross D. Williams, Patrick B. Ryan, Peter R. Rijnbeek
Publikováno v:
BMC Medicine, Vol 22, Iss 1, Pp 1-12 (2024)
Abstract Background A prediction model can be a useful tool to quantify the risk of a patient developing dementia in the next years and take risk-factor-targeted intervention. Numerous dementia prediction models have been developed, but few have been
Externí odkaz:
https://doaj.org/article/fc208c44b82f4bab9139744e5d70852e
Autor:
Tsima Abou Kors, Matthias Meier, Lena Mühlenbruch, Annika C. Betzler, Franziska Oliveri, Martin Bens, Jaya Thomas, Johann M. Kraus, Johannes Doescher, Adrian von Witzleben, Linda Hofmann, Jasmin Ezic, Diana Huber, Julian Benckendorff, Thomas F. E. Barth, Jens Greve, Patrick J. Schuler, Cornelia Brunner, Jonathan M. Blackburn, Thomas K. Hoffmann, Christian Ottensmeier, Hans A. Kestler, Hans-Georg Rammensee, Juliane S. Walz, Simon Laban
Publikováno v:
Frontiers in Immunology, Vol 15 (2024)
IntroductionThe human leukocyte antigen complex (HLA) is essential for inducing specific immune responses to cancer by presenting tumor-associated peptides (TAP) to T cells. Overexpressed tumor associated antigens, mainly cancer-testis antigens (CTA)
Externí odkaz:
https://doaj.org/article/395296b0c62b42a7af04bb14da175331
Autor:
Daniel Prieto-Alhambra, Talita Duarte-Salles, Edward Burn, Rae Woong Park, Jan A Kors, Carlen Reyes, Jerry A Krishnan, Peter R Rijnbeek, Guy G Brusselle, Aniek F Markus, Markus Haug, Chungsoo Kim, Raivo Kolde, Youngsoo Lee, Hae-Sim Park, Katia MC Verhamme
Publikováno v:
BMJ Open Respiratory Research, Vol 11, Iss 1 (2024)
Background There is a lack of knowledge on how patients with asthma or chronic obstructive pulmonary disease (COPD) are globally treated in the real world, especially with regard to the initial pharmacological treatment of newly diagnosed patients an
Externí odkaz:
https://doaj.org/article/5afef2731e734ebcadc1cb028255c8ff
Autor:
Geurts, Sven, Bos, Maxime M., van der Toorn, Janine E., Stricker, Bruno H.C., Ghanbari, Mohsen, Kors, Jan A., Deckers, Jaap W., Ikram, M. Arfan, Bos, Daniel, Kavousi, Maryam
Publikováno v:
In The American Journal of Cardiology 15 November 2024 231:62-69
Autor:
Hendriks, Paul M., Keuning, Zoë A., Kors, Jan A., van den Hoven, Allard T., Geenen, Laurie W., Eindhoven, Jannet A., Baggen, Vivan J.M., Cuypers, Judith A.A.E., Kauling, Robert M., Roos-Hesselink, Jolien W., van den Bosch, Annemien E.
Publikováno v:
In Journal of Electrocardiology September-October 2024 86
Autor:
Seinen, Tom M, Kors, Jan A, van Mulligen, Erik M, Fridgeirsson, Egill A, Verhamme, Katia MC, Rijnbeek, Peter R
Publikováno v:
In International Journal of Medical Informatics September 2024 189
Publikováno v:
Journal of Big Data, Vol 11, Iss 1, Pp 1-17 (2024)
Abstract Background There is currently no consensus on the impact of class imbalance methods on the performance of clinical prediction models. We aimed to empirically investigate the impact of random oversampling and random undersampling, two commonl
Externí odkaz:
https://doaj.org/article/16e1370b11874d648d085a5e82d580c9
Autor:
Julius M. Vahl, Gabriele Nagel, Tsima Abou Kors, Matthias Brand, Adrian vonWitzleben, Michael Sonntag, Ayla Grages, Marie N. Theodoraki, Jens Greve, Michael Denkinger, Dhayana Dallmeier, Christian Idel, Stephan Stilgenbauer, Thomas K. Hoffmann, Simon Laban
Publikováno v:
Cancer Medicine, Vol 12, Iss 23, Pp 21426-21435 (2023)
Abstract Introduction Demographics are important prognostic factors in malignant diseases. A nationwide analysis concerning the prognostic impact of demographics in head and neck cancer (HNC) patients (HNCP) has not been performed previously. Methods
Externí odkaz:
https://doaj.org/article/403267fe0932404bb41475658f084ee6