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Spildo, I., Holmen, H., Lunde Jensen, A., Hagen, M., Singstad, T., Winther, J. A., Årsand, E. & Torbjørnsen, A. (2025). Examining Patient Characteristics Associated With Digital Outpatient Care for Type 1 Diabetes (DigiDiaS): Cross-Sectional Study. JMIR Human Factors, 12, Article e73708. https://doi.org/10.2196/73708
Stentebjerg, L. L., Madsen, L. R., Støving, R. K., Hartmann, B., Holst, J. J., Vinter, C., Juhl, C. B., Hojlund, K. & Jensen, D. M. (2025). Altered postprandial glucose metabolism and enteropancreatic hormone responses during pregnancy following Roux-en-Y gastric bypass: a prospective cohort study. BMJ Open Diabetes Research & Care, 13(2), Article e004672. https://doi.org/10.1136/bmjdrc-2024-004672
Stochholm, K., Rasmussen, A. B. & Skakkebæk, A. (2025). Visualizing Turner Syndrome. American Journal of Medical Genetics, Part C: Seminars in Medical Genetics, 199(2), 134-138. https://doi.org/10.1002/ajmg.c.32144
Stougaard, E. B., Andersen, M. R., Bagger, J. I., Søndergaard, E., Østergaard, J. A., Curovic, V. R., Persson, F., Almdal, T., Mathiesen, A. S., Andries, A., Bohl, M., Nørgaard, L. J., Dejgaard, T. F., Dørfinger, G. H., Gustenhoff, P., Gæde, P. H., Hamid, Y. H., Johannesen, H. L., Juhl, C. B. ... Steno 1 Study Group (2025). The Steno 1 study: Multifactorial intervention to reduce cardiovascular disease in type 1 diabetes-rationale and protocol of the prospective, randomized, open-labelled multicentre study. Diabetes, Obesity and Metabolism, 27(10), 5432-5443. https://doi.org/10.1111/dom.16606
Suhlrie, L., Ayyagari, R., Mba, C., Olsson, K., Torres-Aparcana, H., James, S., Vounzoulaki, E. & Ibsen, D. B. (2025). The effectiveness of telemedicine in the prevention of type 2 diabetes mellitus: a systematic review and meta-analysis of interventions. Diabetes and Metabolic Syndrome: Clinical Research and Reviews, 19(5), 103252. Article 103252. https://doi.org/10.1016/j.dsx.2025.103252
Sun, Y., Qu, K., Corsi, G. I., Anthon, C., Pan, X., Xiang, X., Jensen, L. J., Lin, L., Luo, Y. & Gorodkin, J. (2025). Deep learning models simultaneously trained on multiple datasets improve base-editing activity prediction. Nature Communications, 16(1), Article 9821. https://doi.org/10.1038/s41467-025-65200-5