Piotr Jaroslaw Chmura
Research programmer
Brunak Group
Blegdamsvej 3, 2200 København N., 06 Bygning 6, Building: 06-2-21
- 2023
- 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, , 2023, In: Nature Medicine. 29, p. 1113-1122Research output: Contribution to journal › Journal article › Research › peer-review
- Published
DanMAC5: a browser of aggregated sequence variants from 8,671 whole genome sequenced Danish individuals
Banasik, K., Møller, P. L., Techlo, T. R., Holm, P. C., Walters, G. B., Ingason, A., Rosengren, A., Rohde, P. D., Kogelman, L. J. A., Westergaard, D., Siggaard, T., Chmura, P. J., Chalmer, M. A., Magnússon, Ó., Þórisson, G., Stefánsson, H., Guðbjartsson, D. F., Stefánsson, K., Olesen, J., Winther, S. & 5 others, , 2023, In: BMC Genomic Data. 24, 1, 4 p., 30.Research output: Contribution to journal › Comment/debate › Research › peer-review
- Published
Discovery of drug-omics associations in type 2 diabetes with generative deep-learning models: [with Author Correction]
Allesøe, R. L., Lundgaard, A. T., Hernández Medina, R., Aguayo-Orozco, A., Johansen, J., Nissen, J. N., Brorsson, C., Mazzoni, G., Niu, L., Biel, J. H., Brasas, V., Webel, H., Benros, M. E., Pedersen, A. G., Chmura, P. J., Jacobsen, U. P., Mari, A., Koivula, R., Mahajan, A., Vinuela, A. & 31 others, , 2023, In: Nature Biotechnology. 41, 3, p. 399–408 18 p.Research output: Contribution to journal › Journal article › Research › peer-review
- 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, , 2023, In: EBioMedicine. 92, 18 p., 104625.Research output: Contribution to journal › Journal article › Research › peer-review
- 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. 1983-1996Research output: Contribution to journal › Journal article › Research › peer-review
ID: 233701104
Most downloads
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251
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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
Research output: Contribution to journal › Journal article › Research › peer-review
Published -
150
downloads
The bio.tools registry of software tools and data resources for the life sciences
Research output: Contribution to journal › Letter › Research › peer-review
Published -
85
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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
Research output: Contribution to journal › Journal article › Research › peer-review
Published