Annelaura Bach Nielsen

Annelaura Bach Nielsen

External Postdoc


Publication year:
  1. 2024
  2. Published

    Discovery of plasma proteins associated with ventricular fibrillation during first ST-elevation myocardial infarction via proteomics

    Stampe, N. K., Ottenheijm, Maud Eline, Drici, L., Albrechtsen, Nicolai Jacob Wewer, Nielsen, Annelaura Bach, Christoffersen, Christina, Warming, P. E., Engstrøm, Thomas, Winkel, B. G., Jabbari, R., Tfelt-Hansen, Jacob & Glinge, C., 2024, In: European Heart Journal: Acute Cardiovascular Care. 13, 3, p. 264–272

    Research output: Contribution to journalJournal articleResearchpeer-review

  3. Published

    Imputation of label-free quantitative mass spectrometry-based proteomics data using self-supervised deep learning

    Webel, Henry, Niu, Lili, Nielsen, Annelaura Bach, Locard-Paulet, Marie, Mann, Matthias, Jensen, Lars Juhl & Rasmussen, Simon, 2024, In: Nature Communications. 15, 15 p., 5405.

    Research output: Contribution to journalJournal articleResearchpeer-review

  4. Published

    Mass spectrometry-based proteomics data from thousands of HeLa control samples

    Webel, Henry, Perez-Riverol, Y., Nielsen, Annelaura Bach & Rasmussen, Simon, 2024, In: Scientific Data. 11, 7 p., 112.

    Research output: Contribution to journalJournal articleResearchpeer-review

  5. Published

    Proteomic profiling reveals diagnostic signatures and pathogenic insights in multisystem inflammatory syndrome in children

    Nygaard, Ulrikka, Nielsen, Annelaura Bach, Dungu, K. H. S., Drici, L., Holm, M., Ottenheijm, Maud Eline, Nielsen, A. B., Glenthøj, J. P., Schmidt, Lisbeth Samsø, Cortes, Dina, Jørgensen, Inger Merete, Mogensen, T. H., Schmiegelow, Kjeld, Mann, Matthias, Vissing, N. H. & Albrechtsen, Nicolai Jacob Wewer, 2024, In: Communications Biology . 7, 1, 10 p., 688.

    Research output: Contribution to journalJournal articleResearchpeer-review

  6. 2022
  7. Published

    A knowledge graph to interpret clinical proteomics data

    Santos, A., Colaço, A. R., Nielsen, Annelaura Bach, Niu, Lili, Strauss, Maximilian, Geyer, P. E., Coscia, F., Albrechtsen, Nicolai Jacob Wewer, Mundt, F., Jensen, Lars Juhl & Mann, Matthias, 2022, In: Nature Biotechnology. 40, p. 692–702

    Research output: Contribution to journalJournal articleResearchpeer-review

  8. Published

    Discrete-time survival analysis in the critically ill: a deep learning approach using heterogeneous data

    Thorsen-Meyer, H., Placido, Davide, Kaas-Hansen, Benjamin Skov, Nielsen, A. P., Lange, Theis, Nielsen, Annelaura Bach, Toft, P., Schierbeck, J., Strøm, T., Chmura, Piotr Jaroslaw, Heimann, M., Belling, K., Perner, Anders & Brunak, Søren, 2022, In: npj Digital Medicine. 5, 10 p., 142.

    Research output: Contribution to journalJournal articleResearchpeer-review

  9. Published

    The association of anxiety and other clinical features with CACNA1C rs1006737 in patients with depression

    Dam, H., Buch, J. O. D., Nielsen, Annelaura Bach, Weikop, Pia & Jørgensen, Martin Balslev, 2022, In: Translational Neuroscience. 13, 1, p. 320-326 7 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  10. 2020
  11. Published

    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 records

    Thorsen-Meyer, H., Nielsen, Annelaura Bach, Nielsen, A. P., Kaas-Hansen, Benjamin Skov, Toft, P., Schierbeck, J., Strøm, T., Chmura, Piotr Jaroslaw, Heimann, M., Dybdahl, L., Spangsege, L., Hulsen, P., Belling, K., Brunak, Søren & Perner, Anders, 2020, In: The Lancet Digital Health. 2, 4, p. e179–91 13 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  12. 2019
  13. Published

    Clinical association to FKBP5 rs1360780 in patients with depression

    Dam, H., Buch, J. O. D., Nielsen, Annelaura Bach, Weikop, Pia, Werge, Thomas & Jørgensen, M. B., 2019, In: Psychiatric Genetics. 29, 6, p. 220-225 6 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

  14. Published

    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 records

    Nielsen, Annelaura Bach, Thorsen-Meyer, H. C., Belling, K., Nielsen, A. P., Thomas, Cecilia Engel, Chmura, Piotr Jaroslaw, Lademann, M., Moseley, P. L., Heimann, M., Dybdahl, L., Spangsege, L., Hulsen, P., Perner, Anders & Brunak, Søren, 2019, In: The Lancet Digital Health. 1, 2, p. e78-e89 12 p.

    Research output: Contribution to journalJournal articleResearchpeer-review

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