AI-READI: rethinking AI data collection, preparation and sharing in diabetes research and beyond
Nat Metab
.
2024 Dec;6(12):2210-2212.
doi: 10.1038/s42255-024-01165-x.
Author
AI-READI Consortium
Collaborators
AI-READI Consortium
:
Sally L Baxter
,
Virginia R de Sa
,
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
,
Amir Bahmani
,
Christopher G Chute
,
Jeffrey C Edberg
,
Samantha Hurst
,
Hiroshi Ishikawa
,
Aaron Y Lee
,
Gerald McGwin
,
Shannon McWeeney
,
Camille Nebeker
,
Cynthia Owsley
,
Sara J Singer
,
Riddhiman Adib
,
Mohammad Adibuzzaman
,
Arash Alavi
,
Catherine Ashley
,
Adrienne Baer
,
Erik Benton
,
Marian Blazes
,
Aaron Cohen
,
Benjamin 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
,
Caroline Drolet
,
Abigail Lucero
,
Dawn Matthies
,
Hanna Pittock
,
Kate Watkins
,
Brittany York
,
Charles E Amankwa
,
Monique Bangudi
,
Nada Haboudal
,
Shahin Hallaj
,
Anna Heinke
,
Lingling Huang
,
Fritz Gerald P Kalaw
,
Apoorva Karsolia
,
Hadi Khazaei
,
Muna Mohammed
,
Kyongmi Simpkins
,
Xujing Wang
PMID:
39516364
DOI:
10.1038/s42255-024-01165-x
No abstract available
Grants and funding
OT2OD032644/U.S. Department of Health & Human Services | National Institutes of Health (NIH)
P30 DK035816/DK/NIDDK NIH HHS/United States
P30 DK035816/DK/NIDDK NIH HHS/United States
P30 DK035816/DK/NIDDK NIH HHS/United States