Research output per year
Research output per year
Personal profile
Research
Artificial intelligence and big data in medicine and life science
- Use of artificial intelligence for image analysis (e.g. microscopy and histology)
- Use of artificial intelligence for text mining (Swedish and English)
- Use of artificial intelligence for protein/gene function prediction
- Use of artificial intelligence for integrating medical and life science-related "big data"
- Database mining
Understanding lysosomes and cell death and their relation with the health of humans and other species
- Deciphering the molecular machinery of lysosome regulation and cell death, including interactions between different signalling pathways
- Understanding how excessive or impaired cell death and lysosome function is linked to human diseases and diseases in other species
- Understanding how environmental toxins affect lysosomes and cell death in humans and other species
- Targeted modulation of lysosome function and cell death
- Development of novel tools and methods for studying lysosomes and cell death
Besides these core areas I am also involved in collaborations related to artificial intelligence, cell death, lysosomes, and sustainability/environmental science.
I am also associated with several local and international research networks:
- NEUBIAS European Bioimage Analysis Network
- TRANSAUTOPHAGY
- Nordic Autophagy Society
- StrokeSyd
- AI Lund
- BioCARE
- LINXS
- eHealth@LU
- COMPUTE
- eSSENCE
- EpiHealth
- CEC
- LUCC
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
UKÄ subject classification
- Medical Biotechnology
- Bioinformatics and Systems Biology
- Bioinformatics (Computational Biology)
- Cell and Molecular Biology
- Biochemistry and Molecular Biology
- Environmental Health and Occupational Health
- Neurosciences
- Other Basic Medicine
- Signal Processing
- Computer Vision and Robotics (Autonomous Systems)
- Language Technology (Computational Linguistics)
- Information Systems
- Environmental Sciences
Free keywords
- deep learning
- cell death
- lysosomes
- Natural Language Processing
- Functional genomics
- Image analysis
- Microscopy
- Mitochondria
- Screening
- Bioinformatics
- Neuroscience
- Cancer biology
- Autophagy
- Phenotypic screening
- Neurodegeneration
- Artificial Intelligence
- Machine learning
- Computational modelling
- Computer vision
- High-content microscopy
- Apoptosis
- toxins
- environmental science
- Sustainability
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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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 -
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 May 14, bioRxiv.Research output: Working paper/Preprint › Preprint (in preprint archive)
Open Access -
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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OpenChart-SE: A corpus of artificial Swedish electronic health records for imagined emergency care patients written by physicians in a crowd-sourcing project
Berg, J., Aasa, C., Appelgren Thorell, B. & Aits, S., 2023 Jan 5, medRxiv.Research output: Working paper/Preprint › Preprint (in preprint archive)
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Why any scientist can benefit from ChatGPT and other natural language processing tools
Aits, S., 2023 Feb 9, Medium.Research output: Other contribution › Miscellaneous › Popular science
Open Access
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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 → …
Project: Research
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Analysing large-scale microscopy datasets with AI-based approaches
Aits, S., Åström, K., Maad Sasane, S., Oskolkov, N., Simpson, K., Kazemi Rashed, S. & Lim, J. C.
2018/11/28 → …
Project: Research
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Lysosomes in cell death - from molecular mechanisms to new treatment strategies
Aits, S., Ahmed, R., Kazemi Rashed, S. & Oskolkov, N.
Fabrikant Einar Willumsens Mindelegat, Stiftelsen Sigurd och Elsa Goljes Minne, The Royal Physiographic Society in Lund, Swedish Research Council, Crafoord Foundation, Hjärnfonden, Stiftelsen Längmanska kulturfonden, Thorsten och Elsa Segerfalks Stiftelse för främjande av medicinsk vetenskaplig forskning och utbildning
2017/01/01 → 2023/12/31
Project: Research
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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
Activities
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Fråga Lund - segment on ChatGPT and AI
Sonja Aits (Role not specified)
2023 Oct 23Activity: Other › Media participation
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AI in research: ChatGPT and more
Sonja Aits (Role not specified)
2023 Aug 22Activity: Talk or presentation › Invited talk
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Beast machines, Dreamachines, and the mystery of consciousness
Martin Garwicz (Chair), Anil Seth (Invited speaker), Sonja Aits (Member of panel), Tova Bennet (Member of panel), Victoria Johansson (Member of panel), Germund Hesslow (Member of panel) & Elia Psouni (Member of panel)
2023 May 5Activity: Talk or presentation › Public lecture/debate/seminar
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Kick-off - Nature-based future solutions
Cerina Wittbom (Organiser), Henrik Smith (Presenter), Emily Boyd (Presenter), Paul Miller (Presenter), Susanne Arvidsson (Presenter), Fariborz Zelli (Presenter), Maria Johansson (Presenter), Sonja Aits (Presenter), Moa Sporre (Participant), Pål Börjesson (Participant), Kes Mccormick (Participant), Åsa Knaggård (Participant), Anna Maria Jönsson (Participant), Katarina Hedlund (Participant), Natascha Kljun (Participant), Christine Wamsler (Participant), Marianne Hall (Organiser), Thomas Hickmann (Participant), Pontus Roldin (Participant), Nils Droste (Participant), Kalle Åström (Participant), Max Koch (Participant), Juliana Dänhardt (Organiser), Johan Friberg (Participant), Anders Ahlström (Participant), Mine Islar (Participant), Lars Eklundh (Participant), Thomas Pugh (Participant), Pål Axel Olsson (Participant), Anders Warell (Participant), Johan Rahm (Participant), Yann Clough (Participant) & Ali Mansourian (Participant)
2023 Feb 27Activity: Participating in or organising an event › Organisation of workshop/ seminar/ course
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AI Lund Online Drop-in: AI in Medicine and Life Science
Jonas Wisbrant (Organiser) & Sonja Aits (Speaker)
2022 Oct 5Activity: Participating in or organising an event › Organisation of workshop/ seminar/ course