Percorrer por autor "AlKhnbashi, Omer"
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- Multiomics profiling of Red Blood Cells (RBCs) combined with Deep Machine Learning analysis – reveals potential Diagnostic Biomarkers for Acute Venous ThromboembolismPublication . Febra, Cláudia; Saraiva, Joana; AlKhnbashi, Omer; Vaz, Fátima; Macedo, João; Uddin, Mohammed J.; Penque, Deborah; Soares, Nelson C.Background and aims: Venous Thromboembolism (VTE) is a leading cause of cardiovascular mortality. The diagnosis of acute VTE is still based on complex imaging exams due to the lack of biomarkers. However, studies assessing the diagnostic capacity of novel metabolomics biomarkers in VTE are scarce. Our aim was to determine whether patients with acute VTE exhibit differences in proteomic and metabolomic profiles.
- Multiomics screening of red blood cells (RBCs) reveals new candidate diagnostic biomarkers for acute venous thrombosisPublication . Febra, Cláudia; Saraiva, Joana; AlKhnbashi, Omer; Pinto, Frederico G.; Vaz, Fátima; Macedo, João; Uddin, Mohammed J.; Goswami, Nandu; Penque, Deborah; Soares, Nelson C.Venous Thromboembolism (VTE) is a leading cause of cardiovascular mortality. The diagnosis of acute VTE is still based on complex imaging exams due to the lack of biomarkers. However, studies assessing the diagnostic capacity of novel biomarkers in VTE are scarce. We aimed to determine if patients with acute VTE have differences in the proteomics/metabolomic profile. This observational trial included 62 patients with clinical suspicion of acute deep vein thrombosis (DVT) or pulmonary embolism (PE) admitted to the emergency room (ER).