Research output per year
Research output per year
Project Details
Description
The project combines artificial intelligence (especially deep learning for natural language processing and computer vision), bioinformatics, cell biology, large-scale microscopy-based screening and functional genomics to understand the regulation of cell death and lysosome function, their changes in various diseases and how these processes can be manipulated for therapies.
| Status | Finished |
|---|---|
| Effective start/end date | 2017/01/01 → 2023/12/31 |
Funding
- Thorsten och Elsa Segerfalks Stiftelse för främjande av medicinsk vetenskaplig forskning och utbildning
- Stiftelsen Sigurd och Elsa Goljes Minne
- Crafoord Foundation
- Hjärnfonden
- Swedish Research Council
- Stiftelsen Längmanska kulturfonden
- Fabrikant Einar Willumsens Mindelegat
- The Royal Physiographic Society in Lund
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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.Research output: Working paper/Preprint › Preprint (in preprint archive)
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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, In: Data in Brief. 46, 108769.Research output: Contribution to journal › Article › peer-review
Open Access -
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 Jun 17, Zenodo.Research output: Other contribution › Miscellaneous › Research
Open Access
Projects
- 5 Active
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Biomedical text mining for systems biology
Aits, S., Nugues, P., Frid, J., Klang, M., Ahmed, R. & Kazemi Rashed, S.
2019/04/01 → …
Project: Research