Utilizing artificial intelligence and next-generation sequencing to facilitate the diagnosis of rare diseases
Author:
Affiliation:
1. Department of Medicine III, Division of Nephrology and Dialysis, Medical University of Vienna , Vienna , Austria
2. Institute of Medical Genetics, Medical University of Vienna , Vienna , Austria
Publisher
Oxford University Press (OUP)
Subject
Transplantation,Nephrology
Link
https://academic.oup.com/ckj/advance-article-pdf/doi/10.1093/ckj/sfad300/54759841/sfad300.pdf
Reference5 articles.
1. Estimating cumulative point prevalence of rare diseases: analysis of the Orphanet database;Nguengang Wakap;Eur J Hum Genet,2020
2. Prevalence and practice for rare diseases in primary care: a national cross-sectional study in the USA;Jo;BMJ Open,2019
3. ChatGPT (Sep 14 version) [Large language model];OpenAI,2023
4. A review of Alström syndrome: a rare monogenic ciliopathy;Choudhury;Intractable Rare Dis Res,2021
5. Role of Alström syndrome 1 in the regulation of glomerular hemodynamics;Monu;Am J Physiol Renal Physiol,2023
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