Endocrinology, Diabetes and Clinical Nutrition

Organization profile

Organization profile

The Division of Endocrinology, Diabetes & Clinical Nutrition is actively involved in the education, research, and clinical care of General Endocrinology, including: diabetes and metabolism, lipids and clinical nutrition, and bone and mineral disorders. The Division supports a variety of activities with specialty clinics for clinical nutrition, lipid disorders, diabetes, bone and mineral abnormalities, and general endocrinology.

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Collaborations and top research areas from the last five years

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  • A meta-analysis of previous falls and subsequent fracture risk in cohort studies

    Vandenput, L., Johansson, H., McCloskey, E. V., Liu, E., Schini, M., Åkesson, K. E., Anderson, F. A., Azagra, R., Bager, C. L., Beaudart, C., Bischoff-Ferrari, H. A., Biver, E., Bruyère, O., Cauley, J. A., Center, J. R., Chapurlat, R., Christiansen, C., Cooper, C., Crandall, C. J., Cummings, S. R., & 67 othersda Silva, J. A. P., Dawson-Hughes, B., Diez-Perez, A., Dufour, A. B., Eisman, J. A., Elders, P. J. M., Ferrari, S., Fujita, Y., Fujiwara, S., Glüer, C. C., Goldshtein, I., Goltzman, D., Gudnason, V., Hall, J., Hans, D., Hoff, M., Hollick, R. J., Huisman, M., Iki, M., Ish-Shalom, S., Jones, G., Karlsson, M. K., Khosla, S., Kiel, D. P., Koh, W. P., Koromani, F., Kotowicz, M. A., Kröger, H., Kwok, T., Lamy, O., Langhammer, A., Larijani, B., Lippuner, K., McGuigan, F. E. A., Mellström, D., Merlijn, T., Nguyen, T. V., Nordström, A., Nordström, P., O’Neill, T. W., Obermayer-Pietsch, B., Ohlsson, C., Orwoll, E. S., Pasco, J. A., Rivadeneira, F., Schott, A. M., Shiroma, E. J., Siggeirsdottir, K., Simonsick, E. M., Sornay-Rendu, E., Sund, R., Swart, K. M. A., Szulc, P., Tamaki, J., Torgerson, D. J., van Schoor, N. M., van Staa, T. P., Vila, J., Wareham, N. J., Wright, N. C., Yoshimura, N., Zillikens, MC., Zwart, M., Harvey, N. C., Lorentzon, M., Leslie, W. D. & Kanis, J. A., Mar 2024, In: Osteoporosis International. 35, 3, p. 469-494 26 p.

    Research output: Contribution to journal › Article › peer-review

  • Artificial Intelligence and Machine Learning for Improving Glycemic Control in Diabetes: Best Practices, Pitfalls, and Opportunities

    Jacobs, P. G., Herrero, P., Facchinetti, A., Vehi, J., Kovatchev, B., Breton, M. D., Cinar, A., Nikita, K. S., Doyle, F. J., Bondia, J., Battelino, T., Castle, J. R., Zarkogianni, K., Narayan, R. & Mosquera-Lopez, C., 2024, In: IEEE Reviews in Biomedical Engineering. 17, p. 19-41 23 p.

    Research output: Contribution to journal › Article › peer-review

    Open Access
    4 Scopus citations

  • Association of Baseline Factors With Glycemic Outcomes in GRADE: A Comparative Effectiveness Randomized Clinical Trial

    GRADE Research Group, Apr 2024, In: Diabetes care. 47, 4, p. 562-570 9 p.

    Research output: Contribution to journal › Article › peer-review

View all 1058 Research outputs