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21.
Jo, T.* et al.: Circular-SWAT for deep learning based diagnostic classification of Alzheimer's disease: Application to metabolome data. EBioMedicine 97:104820 (2023)
22.
Mayanja, R.* et al.: Genome-wide association analysis of cystatin-C kidney function in continental Africa. EBioMedicine 95:104775 (2023)
23.
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)
24.
Achenbach, P. et al.: A classification and regression tree analysis identifies subgroups of childhood type 1 diabetes. EBioMedicine 82:104118 (2022)
25.
Ackermann, M.* et al.: The fatal trajectory of pulmonary COVID-19 is driven by lobular ischemia and fibrotic remodelling. EBioMedicine 85:104296 (2022)
26.
Kolářová, H.* et al.: Lifetime risk of autosomal recessive neurodegeneration with brain iron accumulation (NBIA) disorders calculated from genetic databases. EBioMedicine 77:103869 (2022)
27.
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)
28.
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)
29.
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)
30.
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)
31.
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)
32.
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)
33.
Stenton, S. & Prokisch, H.: Genetics of mitochondrial diseases: Identifying mutations to help diagnosis. EBioMedicine 56:102784 (2020)
34.
Tan, J.* et al.: Lifetime risk of autosomal recessive mitochondrial disorders calculated from genetic databases. EBioMedicine 54:102730 (2020)
35.
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)
36.
Ballester-Lopez, C. et al.: The Notch ligand DNER regulates macrophage IFN gamma release in chronic obstructive pulmonary disease. EBioMedicine 43, 562-575 (2019)
37.
Peeken, J.C. et al.: Tumor grading of soft tissue sarcomas using MRI-based radiomics. EBioMedicine 48, 332-340 (2019)
38.
Ng-Blichfeldt, J.P. et al.: Retinoic acid signaling balances adult distal lung epithelial progenitor cell growth and differentiation. EBioMedicine 36, 461-474 (2018)
39.
Parmar, P.* et al.: Association of maternal prenatal smoking GFI1-locus and cardiometabolic phenotypes in 18,212 adults. EBioMedicine 38, 206-216 (2018)
40.
Pera, B.* et al.: Metabolomic profiling reveals cellular reprogramming of B-cell lymphoma by a lysine deacetylase inhibitor through the choline pathway. EBioMedicine 28, 80-89 (2018)
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