All Publications


  • AI-READI: rethinking AI data collection, preparation and sharing in diabetes research and beyond NATURE METABOLISM Baxter, S. L., de Sa, V. R., Ferryman, K., Jain, P., Lee, C. S., Li-Pook-Than, J., Liu, T., Owen, J. P., Patel, B., Yu, Q., Zangwill, L. M., Bahmani, A., Chute, C. G., Edberg, J. C., Hurst, S., Ishikawa, H., Lee, A. Y., McGwin, G., McWeeney, S., Nebeker, C., Owsley, C., Singer, S. J., Adib, R., Adibuzzaman, M., Alavi, A., Ashley, C., Baer, A., Benton, E., Blazes, M., Cohen, A., Cordier, B., Crist, K., Cuddy, C., Gasimova, A., Gim, N., Hong, S., Kim, T., Lin, W., Mitchell, J., Ngadisastra, C., Patronilo, V., Shaffer, J., Soundarajan, S., Zhao, K., Drolet, C., Lucero, A., Matthies, D., Pittock, H., Watkins, K., York, B., Amankwa, C. E., Bangudi, M., Haboudal, N., Hallaj, S., Heinke, A., Huang, L., Kalaw, F. P., Karsolia, A., Khazaei, H., Mohammed, M., Simpkins, K., Wang, X. 2024

    View details for DOI 10.1038/s42255-024-01165-x

    View details for Web of Science ID 001350162600001

    View details for PubMedID 39516364

    View details for PubMedCentralID 4792175