| Autor: |
Bum Chul Kwon, Vibha Anand, Peter Achenbach, Jessica L. Dunne, William Hagopian, Jianying Hu, Eileen Koski, Åke Lernmark, Markus Lundgren, Kenney Ng, Jorma Toppari, Riitta Veijola, Brigitte I. Frohnert, the T1DI Study Group |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
Nature Communications, Vol 13, Iss 1, Pp 1-9 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
2041-1723 |
| DOI: |
10.1038/s41467-022-28909-1 |
| Popis: |
Presence of islet autoantibodies precedes the onset of type 1 diabetes but it does not predict whether and how fast symptomatic disease appears. Here authors present a model to predict and visualize progression to diabetes by using a large longitudinal data set on autoantibodies and clinical parameters as input. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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Full text from SpringerLink