AI-READI: rethinking AI data collection, preparation and sharing in diabetes research and beyond

Authors: Sally L. Baxter, Virginia R. de, Kadija Ferryman, Prachee Jain, Cecilia S. Lee, Jennifer Li‐Pook‐Than, T. Y. Alvin Liu, Julia P. Owen, Bhavesh Patel, Qilu Yu, Linda M. Zangwill, Principal Investigators, Amir Bahmani, Christopher G. Chute, Jeffrey C. Edberg, Samantha Hurst, Hiroshi Ishikawa, Aaron Lee, Gerald McGwin, Shannon K. McWeeney, Camille Nebeker, Cynthia Owsley, Sara J. Singer, Riddhiman Adib, Mohammad Adibuzzaman, Arash Alavi, C. C. Ashley, A. Baer, Erik Benton, Marian Blazes, Aaron Cohen, Benjamin A. Cordier, Katie Crist, Colleen Cuddy, Aydan Gasimova, Nayoon Gim, Stephanie Hong, Trina Kim, Wei-Chun Lin, Jessica Mitchell, Caitlyn Ngadisastra, Victoria Patronilo, Jamie Shaffer, Sanjay Soundarajan, Kevin Zhao, Project Managers, Caroline E. Drolet, Abigail Lucero, Dawn S Matthies, Hanna Pittock, Kate E. Watkins, Brittany York, Interns, Charles E. Amankwa, Monique Bangudi, Nada Haboudal, Shahin Hallaj, Anna Heinke, Lingling Huang, Fritz Gerald P. Kalaw, Apoorva Karsolia, Hadi Khazaei, Muna Mohammed, K.C. Simpkins, NIH Program Scientists, Xujing Wang - Nature Metabolism 2024 cited by 25