Biomedical text mining for systems biology

Aits, Sonja (Forskare)
Nugues, Pierre (PI)
Frid, Johan (Forskare)
Klang, Marcus (Forskare)
Ahmed, Rafsan (Forskare)
Kazemi Rashed, Salma (Forskare)

Projekt: Forskning

Status	Pågående
Gällande start-/slutdatum	2019/04/01 → …

2 Övrigt
2 Preprint (i preprint-arkiv)

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)
Artificial intelligence: — a vehicle or an obstacle on our path to a sustainable future?
Aits, S., 2022 apr. 15, Medium.
Forskningsoutput: Övriga bidrag › Övrigt › Populärvetenskap
Files and code for English dictionaries, gold and silver standard corpora for biomedical natural language processing related to SARS-CoV-2 and COVID-19: Dataset record
Kazemi Rashed, S., Ahmed, R., Frid, J. & Aits, S., 2022 juni 14, Zenodo.
Forskningsoutput: Övriga bidrag › Övrigt › Forskning

Öppen tillgång

5 Aktiva

Studying COVID-19 with artificial intelligence
Ahmed, R. & Aits, S.
2020/09/01 → 2024/08/31
Projekt: Avhandling
Using artificial intelligence and advanced computational tools to identify biological pathways, disease mechanisms and therapeutic opportunities
Kazemi Rashed, S. & Aits, S.
2020/04/01 → …
Projekt: Avhandling
Artificial intelligence-based text mining for COVID-19 and other areas of medicine
Aits, S., Frid, J., Nugues, P., Kazemi Rashed, S., Klang, M. & Berg, J.
Knut and Alice Wallenberg Foundation
2020/01/20 → …
Projekt: Forskning