Schinkel, Michiel

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

Introducing artificial intelligence training in medical education

Paranjape, K., Schinkel, M., Nannan Panday, R., Car, J., & Nanayakkara, P. (2019) · JMIR Medical Education

Artificial Intelligence in Healthcare and EducationInnovations in Medical Education

Cited by 634

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

Clinical applications of artificial intelligence in sepsis: A narrative review

Schinkel, M., Paranjape, K., Nannan Panday, R. S., Skyttberg, N., & Nanayakkara, P. W. B. (2019) · Computers in Biology and Medicine

Sepsis Diagnosis and TreatmentMachine Learning in Healthcare

Cited by 130

Outcome of immediate versus early antibiotics in severe sepsis and septic shock: A systematic review and meta-analysis.

Rothrock, S. G., Cassidy, D. D., Barneck, M., Schinkel, M., Guetschow, B., Myburgh, C., Nguyen, L., Earwood, R., Nanayakkara, P. W. B., Nannan Panday, R. S., et al. (2020) · Annals of Emergency Medicine

Sepsis Diagnosis and TreatmentAntibiotics Pharmacokinetics and Efficacy

Cited by 57