Julian Hong, MD, MS, featured in Oncology On The Go’s podcast episode, discussed considerations for optimizing care among patients with mental health disorders (MHDs) who are undergoing treatment for cancer.
Center for Edge Medicine Awarded Laude Moonshots Seed Grant to Build Open AI Infrastructure for Frontline Healthcare
Dr. Ida Sim and researchers from UCSF & UC Berkeley Computational Precision Health (CPH) and UC Berkeley Institute for Data Science (BIDS) have been awarded a Laude Moonshots seed grant in support of Edge Medicine, an initiative to bring intelligent, always-on AI tools to the frontier of healthcare: patients’ everyday lives.
Zink, A., Luan, H., & Chen, I. Y. (2026). Access to care affects electronic health record reliability and AI-driven disease prediction. Nature Health. https://doi.org/10.1038/s44360-026-00054-9
Zink, A., Luan, H., & Chen, I. Y. (2026). Access to care affects electronic health record reliability and AI-driven disease prediction. Nature Health. https://doi.org/10.1038/s44360-026-00054-9
Weinreb, G. G., Holmgren, A. J., Apathy, N. C., Bates, D. W., Landon, B. E., & Rotenstein, L. S. (2026). Changes in primary care physicians’ electronic health record patterns after they reduced clinical visit volume. Health Affairs, 45(2).
Weinreb, G. G., Holmgren, A. J., Apathy, N. C., Bates, D. W., Landon, B. E., & Rotenstein, L. S. (2026). Changes in primary care physicians’ electronic health record patterns after they reduced clinical visit volume. Health Affairs, 45(2).
Serna, J. A., Yu, Y., Diaz, P., Sakiyama, K., Ye, M., Rustagi, A., & Sohn, J. H. (2026). Self-reported comprehension of large language model-generated summaries of lung cancer screening reports: A vignette survey. Radiology Advances, umag008. https://doi.org/10.1093/radadv/umag008
Serna, J. A., Yu, Y., Diaz, P., Sakiyama, K., Ye, M., Rustagi, A., & Sohn, J. H. (2026). Self-reported comprehension of large language model-generated summaries of lung cancer screening reports: A vignette survey. Radiology Advances, umag008. https://doi.org/10.1093/radadv/umag008
Li, H., He, X., Subbaswamy, A., Vossler, P., Gossmann, A., Singh, K., & Feng, J. (2026). Scaling medical device regulatory science using large language models. npj Digital Medicine. https://doi.org/10.1038/s41746-026-02353-7
Li, H., He, X., Subbaswamy, A., Vossler, P., Gossmann, A., Singh, K., & Feng, J. (2026). Scaling medical device regulatory science using large language models. npj Digital Medicine. https://doi.org/10.1038/s41746-026-02353-7
Lall, R., Evans, M., Seo, Y., Niknejad, A., & Anwar, M. (2026). Continuous, preclinical activity reconstruction in 177Lu-based radiopharmaceutical therapy using a sparse uncollimated γ-sensor network. International Journal of Radiation Oncology, Biology, Physics. https://doi.org/10.1016/j.ijrobp.2026.02.224
Lall, R., Evans, M., Seo, Y., Niknejad, A., & Anwar, M. (2026). Continuous, preclinical activity reconstruction in 177Lu-based radiopharmaceutical therapy using a sparse uncollimated γ-sensor network. International Journal of Radiation Oncology, Biology, Physics. https://doi.org/10.1016/j.ijrobp.2026.02.224
Kim, H., Liang, S., Lanier, K., Helman, S., Ameli, N., Banava, S., Cheng, N. F., Boyce, J., Hswen, Y., Oldenburg, C. E., Rhoads, K. F., Charlebois, E. D., Gansky, S. A., & Brown, W., III. (2026). Bidirectional data harmonization across the multiple chronic disease disparities research consortium: A pipeline description of opportunities and challenges. Journal of Biomedical Informatics, 105004.
Kim, H., Liang, S., Lanier, K., Helman, S., Ameli, N., Banava, S., Cheng, N. F., Boyce, J., Hswen, Y., Oldenburg, C. E., Rhoads, K. F., Charlebois, E. D., Gansky, S. A., & Brown, W., III. (2026). Bidirectional data harmonization across the multiple chronic disease disparities research consortium: A pipeline description of opportunities and challenges. Journal of Biomedical Informatics, 105004.
Chen, J. J., Feng, J., Friesner, I. D., Chang, C., Kenny, C., Elia, M. V., Ni, L., Feng, F. Y., Rabow, M. W., Braunstein, S. E., Boreta, L. C., & Hong, J. C. (2026). Natural language processing to identify documented pain preceding radiotherapy for bone metastases. JNCI Cancer Spectrum, pkag010. https://doi.org/10.1093/jncics/pkag010
Chen, J. J., Feng, J., Friesner, I. D., Chang, C., Kenny, C., Elia, M. V., Ni, L., Feng, F. Y., Rabow, M. W., Braunstein, S. E., Boreta, L. C., & Hong, J. C. (2026). Natural language processing to identify documented pain preceding radiotherapy for bone metastases. JNCI Cancer Spectrum, pkag010. https://doi.org/10.1093/jncics/pkag010
Bernstein, M. H., Chung, M., Yala, A., & Baird, G. L. (2026). A novel statistical framework for quantifying risks and benefits of AI automation in screening mammography. PLOS Digital Health. https://doi.org/10.1371/journal.pdig.0001231
Bernstein, M. H., Chung, M., Yala, A., & Baird, G. L. (2026). A novel statistical framework for quantifying risks and benefits of AI automation in screening mammography. PLOS Digital Health. https://doi.org/10.1371/journal.pdig.0001231
