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21.
Bernhardt, A.M.* et al.: A unified classification approach rating clinical utility of protein biomarkers across neurologic diseases. EBioMedicine 89:104456 (2023)
22.
Bjune, M.S.* et al.: Metabolic role of the hepatic valine/3-hydroxyisobutyrate (3-HIB) pathway in fatty liver disease. EBioMedicine 91:104569 (2023)
23.
Faber, B.G.* et al.: The identification of distinct protective and susceptibility mechanisms for hip osteoarthritis: Findings from a genome-wide association study meta-analysis of minimum joint space width and Mendelian randomisation cluster analyses. EBioMedicine 95:104759 (2023)
24.
Han, B.* et al.: ACE2-independent SARS-CoV-2 virus entry through cell surface GRP78 on monocytes - evidence from a translational clinical and experimental approach. EBioMedicine 98:104869 (2023)
25.
Jo, T.* et al.: Circular-SWAT for deep learning based diagnostic classification of Alzheimer's disease: Application to metabolome data. EBioMedicine 97:104820 (2023)
26.
Mayanja, R.* et al.: Genome-wide association analysis of cystatin-C kidney function in continental Africa. EBioMedicine 95:104775 (2023)
27.
Varun, K.* et al.: Elevated markers of DNA damage and senescence are associated with the progression of albuminuria and restrictive lung disease in patients with type 2 diabetes. EBioMedicine 90:104516 (2023)
28.
Achenbach, P. et al.: A classification and regression tree analysis identifies subgroups of childhood type 1 diabetes. EBioMedicine 82:104118 (2022)
29.
Ackermann, M.* et al.: The fatal trajectory of pulmonary COVID-19 is driven by lobular ischemia and fibrotic remodelling. EBioMedicine 85:104296 (2022)
30.
Kolářová, H.* et al.: Lifetime risk of autosomal recessive neurodegeneration with brain iron accumulation (NBIA) disorders calculated from genetic databases. EBioMedicine 77:103869 (2022)
31.
Reel, P.S.* et al.: Machine learning for classification of hypertension subtypes using multi-omics: A multi-centre, retrospective, data-driven study. EBioMedicine 84:104276 (2022)
32.
Vogel, E. et al.: Dynamics of humoral and cellular immune responses after homologous and heterologous SARS-CoV-2 vaccination with ChAdOx1 nCoV-19 and BNT162b2. EBioMedicine 85:104294 (2022)
33.
Beyerl, J.* et al.: A dried blood spot protocol for high throughput analysis of SARS-CoV-2 serology based on the Roche Elecsys anti-N assay. EBioMedicine 70:103502 (2021)
34.
Schulte, E.C. & Sellner, J.*: SARS-CoV-2 vaccination in multiple sclerosis: A clearer picture for the time point during CD20 depleting therapy. EBioMedicine 73:103635 (2021)
35.
Wang, C.* et al.: DNA methylation-based biomarkers of age acceleration and all-cause death, myocardial infarction, stroke, and cancer in two cohorts: The NAS, and KORA F4. EBioMedicine 63:103151 (2021)
36.
Eriksen, R.* et al.: Dietary metabolite profiling brings new insight into the relationship between nutrition and metabolic risk: An IMI DIRECT study. EBioMedicine 58:102932 (2020)
37.
Stenton, S. & Prokisch, H.: Genetics of mitochondrial diseases: Identifying mutations to help diagnosis. EBioMedicine 56:102784 (2020)
38.
Tan, J.* et al.: Lifetime risk of autosomal recessive mitochondrial disorders calculated from genetic databases. EBioMedicine 54:102730 (2020)
39.
Tan, J.* et al.: Corrigendum to “Lifetime risk of autosomal recessive mitochondrial disorders calculated from genetic databases” [EBioMedicine 54 (2020) 102730] (EBioMedicine (2020) 54, (S2352396420301055), (10.1016/j.ebiom.2020.102730)). EBioMedicine 61:103072 (2020)
40.
Ballester-Lopez, C. et al.: The Notch ligand DNER regulates macrophage IFN gamma release in chronic obstructive pulmonary disease. EBioMedicine 43, 562-575 (2019)
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