Blood proteins predict the risk of many diseases years before onset
Author:
Publisher
Springer Science and Business Media LLC
Link
https://www.nature.com/articles/s41591-024-03145-w.pdf
Reference5 articles.
1. Bobrowska, A. et al. Targeted screening in the UK: a narrow concept with broad application. Lancet Reg. Health Eur. 16, 100353 (2022). A review article that defines screening terms.
2. Hoyer, N. et al. Diagnostic delay in IPF impacts progression-free survival, quality of life and hospitalisation rates. BMJ Open Respir. Res. 9, e001276 (2022). This paper reports delays in the diagnosis of idiopathic pulmonary fibrosis.
3. Koshiaris, C. et al. Quantifying intervals to diagnosis in myeloma: a systematic review and meta-analysis. BMJ Open. 8, e019758 (2018). This paper reports delays in the diagnosis of multiple myeloma.
4. Carrasco-Zanini, J. et al. Proteomic signatures for identification of impaired glucose tolerance. Nat Med. 28, 2293–2300 (2022). A paper that describes the original machine learning framework that we adapted to develop sparse protein signatures.
5. Fagan, T. J. et al. Letter: nomogram for Bayes theorem. N. Engl. J. Med. 293, 257 (1975). The original paper that integrated Bayes’ theorem into a nomogram for practitioners to quantify the post-test probability that an individual is affected by a condition given an observed test result.
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