Kargarandehkordi, A., Jaiswal, A., Banerjee, A., Qian, Y., Slade, C. R., Sun, Y., Islam, T., Tadesse, H. B., Kostrinsky-Thomas, A., Park, C., Sarkar, U., Khoong, E. C., Nguyen, N., Xu, X., Phillips, K. T., Benzo, R. M., Aguilera, A., Zhang, H., Doshi-Velez, F., & Washington, P. (2026). Personalized modeling of stress and blood pressure reactivity using mobile health data. npj Mental Health Research. https://doi.org/10.1038/s44184-026-00210-9

Rosenbloom, T., Holmgren, A. J., & Steitz, B. D. (2026). Building toward a future for electronic health record systems. Annual Review of Biomedical Data Science. https://doi.org/10.1146/annurev-biodatasci-092724-050949

Wu, R., Ferreira, G., Khan, N. S., Mahmud, S. T., Stoop, J., Sohn, L. L., Leopold, J. A., & Randles, A. (2026). Digital twins and digital models of the human circulatory system. Nature Reviews Bioengineering, 1–20. https://doi.org/10.1038/s44222-026-00427-5

van Amsterdam, W. A. C., Oberst, M., Feng, J., Wiens, J., Tang, S., Joshi, S., Ranganath, R., Sendak, M., Shalit, U., Vogt, J. E., Beaulieu-Jones, B., Mamdani, M., Kent, D., Heagerty, P. J., Fleming, T. R., & Goldenberg, A. (2026). Clinical trials for continuously monitored and updated AI systems. Nature Medicine, 1–3. https://doi.org/10.1038/s41591-026-04368-9

Zamora Hua, S. B., Heller, N., He, P., Towbin, A. J., Chen, I. Y., Lu, A. X., & Erdman, L. (2026). Underrepresentation of children in public medical imaging datasets. Nature Health, 1–10.