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1.
Harewood, R.* et al.: Association between pre-diagnostic circulating lipid metabolites and colorectal cancer risk: A nested case-control study in the European Prospective Investigation into Cancer and Nutrition (EPIC). EBioMedicine 101:105024 (2024)
2.
Harrer, P. et al.: Phenotypic and genome-wide studies on dicarbonyls: Major associations to glomerular filtration rate and gamma-glutamyltransferase activity. EBioMedicine 101:105007 (2024)
3.
Kerckhof, P.* et al.: Ventilatory capacity in CLAD is driven by dysfunctional airway structure. EBioMedicine 101:105030 (2024)
4.
Meissen, F.* et al.: (Predictable) performance bias in unsupervised anomaly detection. EBioMedicine 101:105002 (2024)
5.
Müller, L.* et al.: Blood methylation pattern reflects epigenetic remodelling in adipose tissue after bariatric surgery. EBioMedicine 106:105242 (2024)
6.
Yarmolinsky, J.* et al.: Association between circulating inflammatory markers and adult cancer risk: A Mendelian randomization analysis. EBioMedicine 100:104991 (2024)
7.
Bernhardt, A.M.* et al.: A unified classification approach rating clinical utility of protein biomarkers across neurologic diseases. EBioMedicine 89:104456 (2023)
8.
Bjune, M.S.* et al.: Metabolic role of the hepatic valine/3-hydroxyisobutyrate (3-HIB) pathway in fatty liver disease. EBioMedicine 91:104569 (2023)
9.
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)
10.
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)
11.
Jo, T.* et al.: Circular-SWAT for deep learning based diagnostic classification of Alzheimer's disease: Application to metabolome data. EBioMedicine 97:104820 (2023)
12.
Mayanja, R.* et al.: Genome-wide association analysis of cystatin-C kidney function in continental Africa. EBioMedicine 95:104775 (2023)
13.
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)
14.
Achenbach, P. et al.: A classification and regression tree analysis identifies subgroups of childhood type 1 diabetes. EBioMedicine 82:104118 (2022)
15.
Ackermann, M.* et al.: The fatal trajectory of pulmonary COVID-19 is driven by lobular ischemia and fibrotic remodelling. EBioMedicine 85:104296 (2022)
16.
Kolářová, H.* et al.: Lifetime risk of autosomal recessive neurodegeneration with brain iron accumulation (NBIA) disorders calculated from genetic databases. EBioMedicine 77:103869 (2022)
17.
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)
18.
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)
19.
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)
20.
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)
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