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1.
Bauke, F.* et al.: Anterior-wall and non-anterior-wall STEMIs do not differ in long-term mortality: Results from the augsburg myocardial infarction registry. Front. Cardiovasc. Med. 10:1306272 (2024)
2.
Harlacher, E.* et al.: Increased levels of a mycophenolic acid metabolite in patients with kidney failure negatively affect cardiomyocyte health. Front. Cardiovasc. Med. 11:1346475 (2024)
3.
Schmitz, T.* et al.: Do patients with diabetes with new onset acute myocardial infarction present with different symptoms than non-diabetic patients? Front. Cardiovasc. Med. 11:1324451 (2024)
4.
Kampaktsis, P.N.* et al.: Artificial intelligence in atherosclerotic disease: Applications and trends. Front. Cardiovasc. Med. 9:949454 (2023)
5.
Karlas, A. ; Bariotakis, M. ; Kallmayer, M.* ; Hadjileontiadis, L.* & Wildgruber, M.*: Editorial: Research topic for frontiers in cardiovascular medicine: non-invasive sensing and imaging techniques for cardiometabolic diseases. Front. Cardiovasc. Med. 10:1178101 (2023)
6.
Karlas, A. et al.: Optoacoustic biomarkers of lipids, hemorrhage and inflammation in carotid atherosclerosis. Front. Cardiovasc. Med. 10:1210032 (2023)
7.
Li, Y.* et al.: The atherogenic index of plasma (AIP) is a predictor for the severity of coronary artery disease. Front. Cardiovasc. Med. 10:1140215 (2023)
8.
Schmitz, T.* et al.: Baseline fibroblast growth factor 23 is associated with long-term mortality in ST-elevation myocardial infarction-results from the augsburg myocardial infarction registry. Front. Cardiovasc. Med. 10:1173281 (2023)
9.
van Os, B.W.* et al.: Deficiency of germinal center kinase TRAF2 and NCK-interacting kinase (TNIK) in B cells does not affect atherosclerosis. Front. Cardiovasc. Med. 10:1171764 (2023)
10.
Schmitz, T.* et al.: Undiagnosed impaired glucose tolerance and type-2 diabetes in acute myocardial infarction patients: Fequency, characteristics and long-term mortality. Front. Cardiovasc. Med. 9:869395 (2022)
11.
Alkhodari, M.* et al.: Deep learning predicts heart failure with preserved, mid-range, and reduced left ventricular ejection fraction from patient clinical profiles. Front. Cardiovasc. Med. 8:755968 (2021)
12.
Holmberg, O. et al.: Histopathology-based deep-learning predicts atherosclerotic lesions in intravascular imaging. Front. Cardiovasc. Med. 8:779807 (2021)
13.
Lasch, F.* et al.: Comparison of MRI and VQ-SPECT as a screening test for patients with suspected CTEPH: CHANGE-MRI study design and rationale. Front. Cardiovasc. Med. 7:51 (2020)
14.
Heinig, M.: Using gene expression to annotate cardiovascular GWAS loci. Front. Cardiovasc. Med. 5:59 (2018)
15.
van der Vorst, E.P.C.* ; de Jong, R.J. & Donners, M.M.P.C.*: Message in a microbottle: Modulation of vascular inflammation and atherosclerosis by extracellular vesicles. Front. Cardiovasc. Med. 5:2 (2018)
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