Publications

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Kolding, L., Özok, I. C., Henriksen, T. B. & Pedersen, L. H. (2023). No differences in neonatal outcomes between two pharmacokinetic different formulations of betamethasone. Poster session presented at ISUOG World Congress 2023, Seoul, Korea, Republic of.
Kolding, L., Henriksen, J., Sædder, E. A. & Pedersen, L. H. (2023). The information system, a unique work tool to optimize drug safety during pregnancy. Abstract from 1st Danish International Conference on Personalised Medicine, Aarhus , Denmark.
Kringelbach, T., Højgaard, M., Rohrberg, K., Spanggaard, I., Laursen, B. E., Ladekarl, M., Haslund, C. A., Harsløf, L., Belcaid, L., Gehl, J., Søndergaard, L., Eefsen, R. L., Hansen, K. H., Kodahl, A. R., Jensen, L. H., Holt, M. I., Oellegaard, T. H., Yde, C. W., Ahlborn, L. B. & Lassen, U. (2023). ProTarget: a Danish Nationwide Clinical Trial on Targeted Cancer Treatment based on genomic profiling – a national, phase 2, prospective, multi-drug, non-randomized, open-label basket trial. BMC Cancer, 23(1), Article 182. https://doi.org/10.1186/s12885-023-10632-9
Kristensen, S. E., Gadsbøll, K., Nicolaides, K. H., Vogel, I., Pedersen, L. H., Wright, A., Petersen, O. B. & Wright, D. (2023). Atypicality index: avoiding false reassurance in prenatal screening. Ultrasound in Obstetrics & Gynecology, 61(3), 333-338. https://doi.org/10.1002/uog.26135
Krogager, M. E., Dahl, R. H., Poulsgaard, L., Fugleholm, K., Sehested, T., Mikkelsen, R., Tranum-Jensen, J., Mathiesen, T. I. & Benndorf, G. (2023). Combined cone-beam CT imaging and microsurgical dissection of cadaver specimens to study cerebral venous anatomy: a technical note. Surgical and Radiologic Anatomy, 45(9), 1177-1184. https://doi.org/10.1007/s00276-023-03195-8
Lassé, M., El Saghir, J., Berthier, C. C., Eddy, S., Fischer, M., Laufer, S. D., Kylies, D., Hutzfeldt, A., Bonin, L. L., Dumoulin, B., Menon, R., Vega-Warner, V., Eichinger, F., Alakwaa, F., Fermin, D., Billing, A. M., Minakawa, A., McCown, P. J., Rose, M. P. ... Rinschen, M. M. (2023). An integrated organoid omics map extends modeling potential of kidney disease. Nature Communications, 14(1), Article 4903. https://doi.org/10.1038/s41467-023-39740-7