Abstract: A system for determining a cell type and/or one or more functional markers of a cell using flow cytometry. A plurality of flow cytometry devices respectively perform flow cytometry of cells and use gating definitions at least in part different among each other, thereby generating gating definitions as respective results of the flow cytometry devices, which are at least partly inconsistent such that a same set of biomarkers detected by two different flow cytometry devices results in different gating definitions being output. A machine learning component receives the gating definitions as inputs, and generates a set of cell types and/or functional markers as an output and as a result of the flow cytometry analysis performed by the flow cytometry devices. The machine learning component has been trained using a set of manually curated training data comprising gating definitions resulting from the flow cytometry and corresponding cell types and/or functional markers.

Abstract: The present invention provides a method for the detection of organ derived extracellular vesicles expressing PD-L1 in a biological sample

Abstract: The invention relates to mimetic peptides of epitope(s) of Apolipoprotein A-I, diagnostic immunoassays comprising such mimetic peptides, as well as methods for diagnosing and methods for preventing and/or treating a cardiovascular disease.

Abstract: The invention relates to mimetic peptides of epitope(s) of Apolipoprotein A-I, diagnostic immunoassays comprising such mimetic peptides, as well as methods for diagnosing and methods for preventing and/or treating a cardiovascular disease.