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Rikke Linnemann Nielsen
Rikke Linnemann Nielsen
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Title
Cited by
Cited by
Year
Whole grain-rich diet reduces body weight and systemic low-grade inflammation without inducing major changes of the gut microbiome: a randomised cross-over trial
JK Vogt, M Kristensen, LBS Hansen, S Ibrügger, RB Mærkedahl, MI Bahl, ...
Gut 68 (1), 83-93, 2019
3912019
The stepwise evolution of the exome during acquisition of docetaxel resistance in breast cancer cells
SN Hansen, NS Ehlers, S Zhu, MBH Thomsen, RL Nielsen, D Liu, ...
BMC genomics 17, 1-15, 2016
322016
Candidate single nucleotide polymorphisms and thromboembolism in acute lymphoblastic leukemia–A NOPHO ALL2008 study
KB Jarvis, M LeBlanc, M Tulstrup, RL Nielsen, BK Albertsen, R Gupta, ...
Thrombosis Research 184, 92-98, 2019
242019
Prediction of nephrotoxicity associated with cisplatin-based chemotherapy in testicular cancer patients
SL Garcia, J Lauritsen, Z Zhang, M Bandak, MD Dalgaard, RL Nielsen, ...
JNCI Cancer Spectrum 4 (3), pkaa032, 2020
202020
Data integration for prediction of weight loss in randomized controlled dietary trials
RL Nielsen, M Helenius, SL Garcia, HM Roager, D Aytan-Aktug, ...
Scientific Reports 10 (1), 20103, 2020
142020
Effects of germline DHFR and FPGS variants on methotrexate metabolism and relapse of leukemia
M Tulstrup, T Moriyama, C Jiang, M Grosjean, J Nersting, J Abrahamsson, ...
Blood, The Journal of the American Society of Hematology 136 (10), 1161-1168, 2020
102020
Endothelial dysfunction and thromboembolism in children, adolescents, and young adults with acute lymphoblastic leukemia
L Andrés-Jensen, K Grell, CU Rank, BK Albertsen, R Tuckuviene, ...
Leukemia 36 (2), 361-369, 2022
92022
Biomarkers and coronary microvascular dysfunction in women with angina and no obstructive coronary artery disease
E Prescott, KB Bove, DF Bechsgaard, BH Shafi, T Lange, J Schroder, ...
JACC: advances 2 (2), 100264, 2023
82023
Can machine learning models predict asparaginase-associated pancreatitis in childhood acute lymphoblastic leukemia
RL Nielsen, BO Wolthers, M Helenius, BK Albertsen, L Clemmensen, ...
Journal of pediatric hematology/oncology 44 (3), e628-e636, 2022
42022
Polygenic risk score-analysis of thromboembolism in patients with acute lymphoblastic leukemia
KB Jarvis, RL Nielsen, R Gupta, FD Hede, P Huttunen, ÓG Jónsson, ...
Thrombosis research 196, 15-20, 2020
32020
Acute central nervous system toxicity during treatment of pediatric acute lymphoblastic leukemia: phenotypes, risk factors and genotypes
S Anastasopoulou, RL Nielsen, B Als-Nielsen, J Banerjee, MA Eriksson, ...
Haematologica 107 (10), 2318, 2022
22022
Characteristics of white blood cell count in acute lymphoblastic leukemia: A COST LEGEND phenotype–genotype study
M Helenius, G Vaitkeviciene, J Abrahamsson, ÓG Jonsson, B Lund, ...
Pediatric blood & cancer 69 (6), e29582, 2022
22022
A Comparison of Methods for Disease Progression Prediction Through a GoDARTS Study
AM Nielsen, RL Nielsen, L Donnelly, K Zhou, A Dahl, R Gupta, B Ersbøll, ...
12020
RWOP1 Genetic risk factors associated with the multimorbid development of chronic kidney disease by cardiovascular disease patients
M Ennis, P McClean, P Shukla, JL Sharman, LG Leal, Z McVey, ...
Heart 110 (Suppl 2), A1-A1, 2024
2024
Data-driven identification of predictive risk biomarkers for subgroups of osteoarthritis using interpretable machine learning
RL Nielsen, T Monfeuga, RR Kitchen, L Egerod, LG Leal, ATH Schreyer, ...
Nature Communications 15 (1), 2817, 2024
2024
Data-driven identification of predictive risk biomarkers for subgroups of osteoarthritis using an interpretable machine learning framework: a UK biobank study
R Gupta, RL Nielsen, T Monfeuga, R Kitchen, L Egerod, L Leal, ...
2023
Modelling the patient journey of osteoarthritis in the context of obesity, using longitudinal health care data and genetics
RL Nielsen, T Monfeuga, Z Mcvey, LG Leal, LE Lund, ATH Schreyer, ...
European Journal of Human Genetics 31 (Suppl. 1), 630-631, 2023
2023
Machine-learning prediction of obesity-related multi-morbidities
LE Lund, RL Nielsen, Z Mcvey, RR Kitchen, LG Leal, ATH Schreyer, ...
DIABETOLOGIA 65 (SUPPL 1), S135-S136, 2022
2022
Proteomics to identify biological pathways and develop prediction models of coronary microvascular dysfunction in women with angina and no obstructive coronary artery disease
E Prescott, K Bove, HE Suhrs, DF Bechsgaard, T Lange, J Schroder, ...
European Heart Journal 43 (Issue Supplement_2), ehac544.1132, 2022
2022
Big Data approaches for prediction of clinically relevant outcomes
RL Nielsen
DTU Health Technology, 2020
2020
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