Piotr Jaroslaw Chmura

Piotr Jaroslaw Chmura

Research programmer

ORCID: 0000-0002-9371-6918

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  1. Published

    Targeted serum proteomics of longitudinal samples from newly diagnosed youth with type 1 diabetes distinguishes markers of disease and C-peptide trajectory

    Moulder, R., Välikangas, T., Hirvonen, M. K., Suomi, T., Brorsson, C. A., Lietzén, N., Bruggraber, S. F. A., Overbergh, L., Dunger, D. B., Peakman, M., Chmura, Piotr Jaroslaw, Brunak, Søren, Schulte, A. M., Mathieu, C., Knip, M., Elo, L. L., Lahesmaa, R. & on behalf of the INNODIA consortium, O. B. O. T. I. C., 2023, In: Diabetologia. 66, p. 1983-1996

    Research output: Contribution to journal › Journal article › Research › peer-review

  2. 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, A. B., 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 journal › Journal article › Research › peer-review

  3. Published

    A deep learning algorithm to predict risk of pancreatic cancer from disease trajectories

    Placido, D., Yuan, B., Hjaltelin, J. X., Zheng, C., Haue, A. D., Chmura, P. J., Yuan, C., Kim, J., Umeton, R., Antell, G., Chowdhury, A., Franz, A., Brais, L., Andrews, E., Marks, D. S., Regev, A., Ayandeh, S., Brophy, M. T., Do, N. V., Kraft, P. & 5 others, Wolpin, B. M., Rosenthal, M. H., Fillmore, N. R., Brunak, Søren & Sander, C., 2023, In: Nature Medicine. 29, p. 1113-1122

    Research output: Contribution to journal › Journal article › Research › peer-review

  4. Published

    High-throughput sequencing of circulating plasma microRNAs in newly diagnosed type 1 diabetes identifies four different patient clusters

    Sebastiani, G., Grieco, G. E., Fignani, D., Chmura, Piotr Jaroslaw, Brorsson, C. A., Bruggraber, S., Pugliese, A., Evans-Molina, C., Knip, M., Peakman, M., Schulte, A. M., Brunak, Søren, Dunger, D. B., Mathieu, C. & Dotta, F., 2020, In: Diabetologia. 63, Suppl. 1, p. S160 1 p.

    Research output: Contribution to journal › Conference abstract in journal › Research

  5. Published

    Gene expression signature predicts rate of type 1 diabetes progression

    Suomi, T., Starskaia, I., Kalim, U. U., Rasool, O., Jaakkola, M. K., Grönroos, T., Välikangas, T., Brorsson, C., Mazzoni, G., Bruggraber, S., Overbergh, L., Dunger, D., Peakman, M., Chmura, P., Brunak, S., Schulte, A. M., Mathieu, C., Knip, M., Lahesmaa, R., Elo, L. L. & 4 others, Pociot, Flemming, Johannesen, Jesper, Rossing, Peter & INNODIA consortium, I. C., 2023, In: EBioMedicine. 92, 18 p., 104625.

    Research output: Contribution to journal › Journal article › Research › peer-review

  6. 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, A. B., 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 journal › Journal article › Research › peer-review

  7. 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, A. B., 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 journal › Journal article › Research › peer-review

  8. Published

    Study protocol Minimum effective low dose: Anti-human thymocyte globulin (MELD-ATG): Phase II, dose ranging, efficacy study of antithymocyte globulin (ATG) within 6 weeks of diagnosis of type 1 diabetes

    Wilhelm-Benartzi, C. S., Miller, S. E., Bruggraber, S., Picton, D., Wilson, M., Gatley, K., Chhabra, A., Marcovecchio, M. L., Hendriks, A. E. J., Morobé, H., Chmura, P. J., Bond, S., Aschemeier-Fuchs, B., Knip, M., Tree, T., Overbergh, L., Pall, J., Arnaud, O., Haller, M. J., Nitsche, A. & 4 others, Schulte, A. M., Mathieu, C., Mander, A. & Dunger, D., 2021, In: BMJ Open. 11, 12, 24 p., e053669.

    Research output: Contribution to journal › Journal article › Research › peer-review

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ID: 233701104