Szczurek, Ewa

Eleven grand challenges in single-cell data science

Lähnemann, D., Köster, J., Szczurek, E., McCarthy, D. J., Hicks, S. C., Robinson, M. D., Vallejos, C. A., Campbell, K. R., Beerenwinkel, N., Mahfouz, A., et al. (2020) · Genome Biology

Single-cell and spatial transcriptomicsGene expression and cancer classification

Cited by 1,327

Discovering highly potent antimicrobial peptides with deep generative model HydrAMP

Szymczak, P., Możejko, M., Grzegorzek, T., Jurczak, R., Bauer, M., Neubauer, D., Sikora, K., Michalski, M., Sroka, J., Setny, P., et al. (2022) · Nature Communications

Antimicrobial Peptides and ActivitiesComputational Drug Discovery Methods

Cited by 231

Discovering highly potent antimicrobial peptides with deep generative model HydrAMP

Szymczak, P., Możejko, M., Grzegorzek, T., Jurczak, R., Bauer, M., Neubauer, D., Sikora, K., Michalski, M., Sroka, J., Setny, P., et al. (2023) · Nature Communications

Antimicrobial Peptides and ActivitiesComputational Drug Discovery Methods

Cited by 231

ARA: accurate, reliable and active histopathological image classification framework with Bayesian deep learning

Rączkowski, Ł., Możejko, M., Zambonelli, J., & Szczurek, E. (2019) · Scientific Reports

AI in cancer detectionRadiomics and Machine Learning in Medical Imaging

Cited by 124

An action plan for pan-European defence against new SARS-CoV-2 variants

Priesemann, V., Balling, R., Brinkmann, M. M., Ciesek, S., Czypionka, T., Eckerle, I., Giordano, G., Hanson, C., Hel, Z., Hotulainen, P., et al. (2021) · The Lancet

COVID-19 epidemiological studiesSARS-CoV-2 and COVID-19 Research

Cited by 107

Calling for pan-European commitment for rapid and sustained reduction in SARS-CoV-2 infections

Priesemann, V., Brinkmann, M. M., Ciesek, S., Cuschieri, S., Czypionka, T., Giordano, G., Gurdasani, D., Hanson, C., Hens, N., Iftekhar, E., et al. (2021) · The Lancet

COVID-19 epidemiological studiesSARS-CoV-2 and COVID-19 Research

Cited by 83