Lescure, François-Xavier

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 clinical decision support in infectious diseases: a narrative review of current applications

Peiffer-Smadja, N., Rawson, T. M., Ahmad, R., Buchard, A., Georgiou, P., Lescure, F.-X., Birgand, G., & Holmes, A. H. (2020) · Clinical Microbiology and Infection

Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 561

Investigating the cultural and contextual determinants of antimicrobial stewardship programmes across low-, middle- and high-income countries: a qualitative study

Charani, E., Smith, I., Skodvin, B., Perozziello, A., Lucet, J.-C., Lescure, F.-X., Birgand, G., Poda, A., Ahmad, R., Singh, S., et al. (2019) · PLOS ONE

Antibiotic Use and ResistanceHealth Policy Implementation Science

Cited by 139

Machine Learning for COVID-19 needs global collaboration and data-sharing

Peiffer-Smadja, N., Maatoug, R., Lescure, F.-X., D’Ortenzio, E., Pineau, J., & King, J.-R. (2020) · Nature Machine Intelligence

COVID-19 diagnosis using AIArtificial Intelligence in Healthcare and Education

Cited by 70