Fleuren, Lucas

Autoantibodies against type I IFNs in patients with life-threatening COVID-19

Bastard, P., Rosen, L. B., Zhang, Q., Michailidis, E., Hoffmann, H.-H., Zhang, Y., Dorgham, K., Philippot, Q., Rosain, J., Béziat, V., et al. (2020) · Science

interferon and immune responsesSARS-CoV-2 and COVID-19 Research

Cited by 2,662

Inborn errors of type I IFN immunity in patients with life-threatening COVID-19

Zhang, Q., Bastard, P., Liu, Z., Le Pen, J., Moncada-Velez, M., Chen, J., Ogishi, M., Sabli, I. K. D., Hodeib, S., Korol, C., et al. (2020) · Science

interferon and immune responsesSARS-CoV-2 and COVID-19 Research

Cited by 2,229

Machine learning for the prediction of sepsis: a systematic review and meta-analysis of diagnostic test accuracy

Fleuren, L. M., Klausch, T. L. T., Zwager, C. L., Schoonmade, L. J., Guo, T., Roggeveen, L. F., Swart, E. L., Girbes, A. R. J., Thoral, P., Ercole, A., et al. (2020) · Intensive Care Medicine

Sepsis Diagnosis and TreatmentMachine Learning in Healthcare

Cited by 755

Afucosylated IgG characterizes enveloped viral responses and correlates with COVID-19 severity

Larsen, M. D., de Graaf, E. L., Sonneveld, M. E., Plomp, H. R., Nouta, J., Hoepel, W., Chen, H.-J., Linty, F., Visser, R., Brinkhaus, M., et al. (2021) · Science

Monoclonal and Polyclonal Antibodies ResearchGlycosylation and Glycoproteins Research

Cited by 408

Machine learning in intensive care medicine: ready for take-off?

Collaborators, R. D. R. N., Fleuren, L. M., Thoral, P., Shillan, D., Ercole, A., & Elbers, P. W. G. (2020) · Intensive Care Medicine

Machine Learning in HealthcareArtificial Intelligence in Healthcare

Cited by 88

Transatlantic transferability of a new reinforcement learning model for optimizing haemodynamic treatment for critically ill patients with sepsis

Roggeveen, L., el Hassouni, A., Ahrendt, J., Guo, T., Fleuren, L., Thoral, P., Girbes, A. R., Hoogendoorn, M., & Elbers, P. W. (2021) · Artificial Intelligence in Medicine

Sepsis Diagnosis and TreatmentMachine Learning in Healthcare

Cited by 41

Clinically relevant pharmacokinetic knowledge on antibiotic dosing among intensive care professionals is insufficient: A cross-sectional study.

Fleuren, L. M., Roggeveen, L. F., Guo, T., Waldauf, P., van der Voort, P. H. J., Bosman, R. J., Swart, E. L., Girbes, A. R. J., & Elbers, P. W. G. (2019) · Critical Care

Antibiotics Pharmacokinetics and EfficacyAntibiotic Use and Resistance

Cited by 32