Pan, T.-F., Nandi, B., Campusano, R., Simon, A. J., Ziegler, D. A., Gazzaley, A., Abbasi-Asl, R., & Zanto, T. P. (2026). When more is not better: Predicting human emotional states with brain and bodily biosensors. Biomedical Signal Processing and Control, 113, 109038. https://www.sciencedirect.com/science/article/pii/S1746809425015496
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
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
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
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
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
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
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
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
Ramos, G., Montoya, A., Aguilera, A., Lau, A., Enders, C., Wen, Y., & Chavira, D. (2026). A self-guided app-based mindfulness intervention for racially and ethnically minoritized individuals who experience discrimination-related mental health symptoms: Randomized controlled trial. Journal of Medical Internet Research, 28, e84328. https://doi.org/10.2196/84328
Ramos, G., Montoya, A., Aguilera, A., Lau, A., Enders, C., Wen, Y., & Chavira, D. (2026). A self-guided app-based mindfulness intervention for racially and ethnically minoritized individuals who experience discrimination-related mental health symptoms: Randomized controlled trial. Journal of Medical Internet Research, 28, e84328. https://doi.org/10.2196/84328
Zandee van Rilland, E. D., et al., including Kornblith, A. E. (2026). Optimizing radiography utilization: Multidisciplinary expert consensus recommendations endorsed by the Society of Academic Bone Radiologists, Society of Skeletal Radiology, American Society of Emergency Radiology, Orthopaedic Trauma Association, American Academy of Emergency Medicine, and American Rhinologic Society. Radiology, 319(2), e252309. https://doi.org/10.1148/radiol.252309
Zandee van Rilland, E. D., et al., including Kornblith, A. E. (2026). Optimizing radiography utilization: Multidisciplinary expert consensus recommendations endorsed by the Society of Academic Bone Radiologists, Society of Skeletal Radiology, American Society of Emergency Radiology, Orthopaedic Trauma Association, American Academy of Emergency Medicine, and American Rhinologic Society. Radiology, 319(2), e252309. https://doi.org/10.1148/radiol.252309
Lee, K.-Y., Sun, J., Li, B., & Li, L. (2026). Generalized point process additive models. Journal of the Royal Statistical Society Series B: Statistical Methodology, qkag061.
Benson, R., Rajkumar, S., Kenny, C., Zhao, M., Chang, J.-H., Scheel, T., Boreta, L., & Hong, J. C. (2026). Computational identification of salient cancer care topics and themes in oncology social work. JNCI Cancer Spectrum, pkag033.
Sun, J., Ma, S., Fan, Y., & Washington, P. (2026). LLMs underperform on classifying anxiety and depression using therapy conversations: A first-step benchmark. Applied Sciences, 16(7), 3388.
