Summary:
CONCLUSION: Creating a robust multinational dialysis database offers vast opportunities to conduct real-world research and data analytics, including the development of artificial intelligence models. These activities hold promise of advancing the understanding of kidney disease and dialysis therapies. It can serve as comparative resource for the nephrology community.
Link:
https://pubmed.ncbi.nlm.nih.gov/41278327/?utm_source=Other&utm_medium=rss&utm_campaign=pubmed-2&utm_content=12QQbiNmM99eUQGIX1JjHIKcROC1Vzv4sOS-2S_LNI19uG_Yrk&fc=20220129225649&ff=20251126033820&v=2.18.0.post22+67771e2
From feeds:
📚BioDBS Bibliography »
database[Title]
Tags:
Authors:
Melanie Wolf, Yue Jiao, Kaitlyn Croft, Carly Hahn Contino, Justin Zimbelman, Kanti Singh, Mitesh Soni, Andrew Dickinson, Jeroen P Kooman, Dinesh Chatoth, Adrian Guinsburg, Stefano Stuard, Milind Nikam, Michelle Carver, Len Usvyat, Franklin W Maddux, Sheetal Chaudhuri, John Larkin
Date tagged:
11/26/2025, 03:38
Date published:
11/24/2025, 06:00