Multi-omics integration reveals molecular heterogeneity and constructs a machine learning survival model for sepsis-induced coagulopathy
Multi-omics integration reveals molecular heterogeneity and constructs a machine learning…
Ler MaisMulti-omics integration reveals molecular heterogeneity and constructs a machine learning…
Ler MaisLow Molecular Weight Heparin (LMWH) after orthopaedic trauma surgery Patient…
Ler MaisIdentifying the spectrum of clinical trajectories in intermediate-high risk pulmonary…
Ler MaisEvolving biomarkers and risk prediction models in colorectal cancer-associated venous…
Ler MaisAbsolute quantitative proteomics identifies patterns of plasma proteins associated with…
Ler MaisMonitoring the Hemostatic Balance: measuring thrombin generation in a patient…
Ler MaisCoagulation parameters in gastrointestinal cancer patients with venous thromboembolism Dongyue…
Ler MaisRethinking thrombophilia testing in pediatric VTE: A decade of real-world…
Ler MaisEvaluating the safety outcomes of whole blood versus component transfusion…
Ler MaisReduced ADP-induced platelet aggregation may predict poor clinical outcomes in…
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