Using artificial intelligence and advanced computational tools to identify biological pathways, disease mechanisms and therapeutic opportunities

Kazemi Rashed, Salma (Forskarstuderande)
Aits, Sonja (Handledare)

Projekt: Avhandling

2 Preprint (i preprint-arkiv)
1 Artikel i vetenskaplig tidskrift
1 Övrigt

4 resultat

2023
Deep learning for rapid and reproducible histology scoring of lung injury in a porcine model
Augusto Silva, I., Kazemi Rashed, S., Hedlund, L., Lidfeldt, A., Gvazava, N., Stegmayr, J., Skoryk, V., Aits, S. & Wagner, D., 2023 maj 14, bioRxiv.
Forskningsoutput: Working paper/Preprint › Preprint (i preprint-arkiv)

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EasyNER: A Customizable Easy-to-Use Pipeline for Deep Learning- and Dictionary-based Named Entity Recognition from Medical Text
Ahmed, R., Berntsson, P., Skafte, A., Kazemi Rashed, S., Klang, M., Barvesten, A., Olde, O., Lindholm, W., Lamarca Arrizabalaga, A., Nugues, P. & Aits, S., 2023 apr. 16, arXiv.org.
Forskningsoutput: Working paper/Preprint › Preprint (i preprint-arkiv)
An annotated high-content fluorescence microscopy dataset with Hoechst 33342-stained nuclei and manually labelled outlines
Arvidsson, M., Rashed, S. K. & Aits, S., 2023 feb., I: Data in Brief. 46, 108769.
Forskningsoutput: Tidskriftsbidrag › Artikel i vetenskaplig tidskrift › Peer review

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2022
An annotated high-content fluorescence microscopy dataset with Hoechst 33342-stained nuclei and manually labelled outlines: Dataset record
Arvidsson, M., Kazemi Rashed, S. & Aits, S., 2022 juni 17, Zenodo.
Forskningsoutput: Övriga bidrag › Övrigt › Forskning

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