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Annelaura B Nielsen

Showing results (1-10 of 8) with videos related to

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Translational Neuroscience|October 14, 2022
The association of anxiety and other clinical features with CACNA1C rs1006737 in patients with depressionHenrik Dam, Jens O D Buch, Annelaura B Nielsen, et al.
Psychiatric Genetics|June 21, 2019
Clinical association to FKBP5 rs1360780 in patients with depressionHenrik Dam, Jens O D Buch, Annelaura B Nielsen, et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research|March 27, 2025
A Proteogenomic View of Synchronous Endometrioid Endometrial and Ovarian CancerFabian Coscia, Annelaura B Nielsen, Melanie Weigert, et al.
Nature Biotechnology|February 1, 2022
A knowledge graph to interpret clinical proteomics dataAlberto Santos, Ana R Colaço, Annelaura B Nielsen, et al.
JCO Precision Oncology|March 13, 2025
Multiomics Identifies Potential Molecular Profiles Associated With Outcomes After BRAF-Targeted Therapy in Patients With BRAF V600E-Mutated Advanced Solid TumorsMartina Eriksen, Anne M Hansen, Annelaura B Nielsen, et al.
The Lancet. Digital Health|December 16, 2020
Survival prediction in intensive-care units based on aggregation of long-term disease history and acute physiology: a retrospective study of the Danish National Patient Registry and electronic patient recordsAnnelaura B Nielsen, Hans-Christian Thorsen-Meyer, Kirstine Belling, et al.
NPJ Digital Medicine|September 14, 2022
Discrete-time survival analysis in the critically ill: a deep learning approach using heterogeneous dataHans-Christian Thorsen-Meyer, Davide Placido, Benjamin Skov Kaas-Hansen, et al.
The Lancet. Digital Health|December 17, 2020
Dynamic and explainable machine learning prediction of mortality in patients in the intensive care unit: a retrospective study of high-frequency data in electronic patient recordsHans-Christian Thorsen-Meyer, Annelaura B Nielsen, Anna P Nielsen, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Translational Neuroscience|October 14, 2022
The association of anxiety and other clinical features with CACNA1C rs1006737 in patients with depressionHenrik Dam, Jens O D Buch, Annelaura B Nielsen, et al.
Psychiatric Genetics|June 21, 2019
Clinical association to FKBP5 rs1360780 in patients with depressionHenrik Dam, Jens O D Buch, Annelaura B Nielsen, et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research|March 27, 2025
A Proteogenomic View of Synchronous Endometrioid Endometrial and Ovarian CancerFabian Coscia, Annelaura B Nielsen, Melanie Weigert, et al.
Nature Biotechnology|February 1, 2022
A knowledge graph to interpret clinical proteomics dataAlberto Santos, Ana R Colaço, Annelaura B Nielsen, et al.
JCO Precision Oncology|March 13, 2025
Multiomics Identifies Potential Molecular Profiles Associated With Outcomes After BRAF-Targeted Therapy in Patients With BRAF V600E-Mutated Advanced Solid TumorsMartina Eriksen, Anne M Hansen, Annelaura B Nielsen, et al.
The Lancet. Digital Health|December 16, 2020
Survival prediction in intensive-care units based on aggregation of long-term disease history and acute physiology: a retrospective study of the Danish National Patient Registry and electronic patient recordsAnnelaura B Nielsen, Hans-Christian Thorsen-Meyer, Kirstine Belling, et al.
NPJ Digital Medicine|September 14, 2022
Discrete-time survival analysis in the critically ill: a deep learning approach using heterogeneous dataHans-Christian Thorsen-Meyer, Davide Placido, Benjamin Skov Kaas-Hansen, et al.
The Lancet. Digital Health|December 17, 2020
Dynamic and explainable machine learning prediction of mortality in patients in the intensive care unit: a retrospective study of high-frequency data in electronic patient recordsHans-Christian Thorsen-Meyer, Annelaura B Nielsen, Anna P Nielsen, et al.
Pageof 1