Sonja Aits

Phone+46733875988
Emailsonja.aitsmed.luse

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

Subject classification (UKÄ)

Medical Biotechnology
Bioinformatics and Computational Biology
Bioinformatics (Computational Biology)
Cell and Molecular Biology
Biological Sciences
Occupational Health and Environmental Health
Neurosciences
Other Basic Medicine
Signal Processing
Computer graphics and computer vision
Natural Language Processing
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

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):

SDG 3 Good Health and Well-being
SDG 4 Quality Education
SDG 9 Industry, Innovation, and Infrastructure
SDG 11 Sustainable Cities and Communities
SDG 13 Climate Action
SDG 14 Life Below Water
SDG 15 Life on Land
SDG 17 Partnerships for the Goals

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Dive into the research topics where Sonja Aits is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

1 Similar Profiles

Mapping disease-environment connections reported in scientific literature at scale with EasyNER
Aasa, C., Boyd, E. & Aits, S., 2025 Dec 2.
Research output: Contribution to conference › Paper, not in proceeding › peer-review

Open Access
Artificial intelligence approaches for mapping the nexus of biodiversity, climate change and human society
Ahmed, R., Aasa, C., Berntsson, P., Skafte, A., Kazemi Rashed, S., Klang, M., Barvesten, A., Olde, O., Lindholm, W., Lamarca Arrizabalaga, A., Nugues, P. & Aits, S., 2025 Oct 22.
Research output: Contribution to conference › Abstract › peer-review
An annotated high-content fluorescence microscopy dataset with EGFP-Galectin-3-stained cells and manually labelled outlines
Rashed, S. K., Arvidsson, M., Ahmed, R. & Aits, S., 2025 Feb, In: Data in Brief. 58, p. 1-9 111148.
Research output: Contribution to journal › Article › peer-review

Open Access
A Deep Learning Pipeline for Genome-Wide Imaging Screen Uncovering Cell Death Regulators
Kazemi Rashed, S., Esbo, K., Miari, M., Arvidsson, M. & Aits, S., 2025 Jan 10, 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, p. 7123
Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review
AI regulation — Struggling to Keep Up
Aits, S., 2024 Dec 11, Medium.
Research output: Other contribution › Web publication/Blog post › Research

10 Finished
12 Active

Environmental toxins as cause of lysosomal damage-induced cell death in animals and humans
Aits, S. (PI), Kazemi Rashed, S. (Research student) & Ahmed, R. (Research student)
FORMAS, The Swedish Research Council for Environment, Agricultural Sciences and Spatial Planning
2020/01/01 → …
Project: Research
Artificial intelligence-based text mining for COVID-19 and other areas of medicine
Aits, S. (PI), Frid, J. (Researcher), Nugues, P. (CoI), Kazemi Rashed, S. (Research student), Klang, M. (Researcher) & Berg, J. (Researcher)
Knut and Alice Wallenberg Foundation
2020/01/20 → …
Project: Research
Analysing large-scale microscopy datasets with AI-based approaches
Aits, S. (PI), Åström, K. (PI), Maad Sasane, S. (PI), Oskolkov, N. (Researcher), Simpson, K. (Researcher), Kazemi Rashed, S. (Research student) & Lim, J. C. (Research student)
2018/11/28 → …
Project: Research
Lysosomes in cell death - from molecular mechanisms to new treatment strategies
Aits, S. (PI), Ahmed, R. (Research student), Kazemi Rashed, S. (Research student) & Oskolkov, N. (Researcher)
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
Biomedical text mining for systems biology
Aits, S. (Researcher), Nugues, P. (PI), Frid, J. (Researcher), Klang, M. (Researcher), Ahmed, R. (Researcher) & Kazemi Rashed, S. (Researcher)
2019/04/01 → …
Project: Research

7 Organisation of public lecture/debate/seminar
3 Organisation of workshop/ seminar/ course
3 Invited talk
2 Participation in conference
More

Grand Seminar - AI for Biodiversity and Climate Research
Ek, T. (Role not specified), Sopasakis, A. (Keynote/plenary speaker), Mogren, O. (Keynote/plenary speaker), Pettersson, L. B. (Keynote/plenary speaker), Carlson, J. (Keynote/plenary speaker), Silvestro, D. (Keynote/plenary speaker), Haider, J. (Keynote/plenary speaker), Sterner, E. (Keynote/plenary speaker), Aits, S. (Keynote/plenary speaker), White, J. (Keynote/plenary speaker) & Sopasakis, A. (Chair)
2026 Jan 20
Activity: Participating in or organising an event › Organisation of public lecture/debate/seminar
Artificial intelligence approaches for mapping the nexus of biodiversity, climate change and human society
Aits, S. (Role not specified)
2025 Oct 22
Activity: Talk or presentation › Invited talk
Natural and Artificial Cognition IV
Åström, K. (Speaker), Beleyur, T. (Speaker), Athanasopoulos, P. (Speaker), Bramao, I. (Speaker), Wengström, E. (Speaker), Howes, C. (Speaker), Tekkesinoglu, S. (Speaker), Gäfvert, M. (Speaker), Nijdam, A. (Speaker), Malik, M. (Speaker), Scotcher, J. (Speaker), Akbuga, E. (Speaker), Gullstrand Heander, L. (Speaker), Aits, S. (Speaker), Bäck, H. (Speaker), Larsson, V. (Speaker), Bossetta, M. (Speaker), Dutceac Segesten, A. (Speaker), Rantzer, A. (Speaker), Bäck, H. (Organiser), Wengström, E. (Organiser), Bramao, I. (Organiser), Athanasopoulos, P. (Organiser), Aits, S. (Organiser) & Wisbrant, J. (Organiser)
2025 Oct 7
Activity: Participating in or organising an event › Organisation of public lecture/debate/seminar
Natural language processing in medicine, life and environmental science
Aits, S. (Organiser), Sänger, M. (Speaker), Garda, S. (Speaker), Wang, X. (Speaker), Serbetci, O. (Speaker) & Aits, S. (Speaker)
2025 Feb 25
Activity: Participating in or organising an event › Organisation of public lecture/debate/seminar
The Use of ChatGPT, other chatbots and scientific text mining for researchers
Aits, S. (Role not specified)
2024 Nov 7
Activity: Talk or presentation › Invited talk

An annotated high-content fluorescence microscopy dataset with EGFP-Galectin-3-stained cells and manually labelled outlines
Kazemi Rashed, S. (Creator), Arvidsson, M. (Creator), Ahmed, R. (Creator) & Aits, S. (Creator), Zenodo, 2021 Jun 24
DOI: 10.5281/zenodo.12193889
Dataset
An annotated high-content fluorescence microscopy dataset with Hoechst 33342-stained nuclei and manually labelled outlines
Arvidsson, M. (Creator), Rashed, S. K. (Creator) & Aits, S. (Creator), Zenodo, 2022 Jun 17
DOI: 10.5281/zenodo.6657260
Dataset
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. (Creator), Aasa Ollvik, C. (Creator), Appelgren Thorell, B. (Creator) & Aits, S. (Creator), Zenodo, 2022 Dec 19
DOI: 10.5281/zenodo.7499831
Dataset
Files and code for English dictionaries, gold and silver standard corpora for biomedical natural language processing related to SARS-CoV-2 and COVID-19
Kazemi Rashed, S. (Creator), Rafsan Ahmed (Creator), Frid, J. (Creator) & Sonja Aits (Creator), Zenodo, 2025 Jun 12
DOI: 10.5281/zenodo.15395348
Dataset

Sonja Aits

Personal profile

Research

Subject classification (UKÄ)

Free keywords

Expertise related to UN Sustainable Development Goals

Fingerprint

Collaborations the last five years

Dive into details

Mapping disease-environment connections reported in scientific literature at scale with EasyNER

Artificial intelligence approaches for mapping the nexus of biodiversity, climate change and human society

An annotated high-content fluorescence microscopy dataset with EGFP-Galectin-3-stained cells and manually labelled outlines

A Deep Learning Pipeline for Genome-Wide Imaging Screen Uncovering Cell Death Regulators

AI regulation — Struggling to Keep Up

Environmental toxins as cause of lysosomal damage-induced cell death in animals and humans

Artificial intelligence-based text mining for COVID-19 and other areas of medicine

Analysing large-scale microscopy datasets with AI-based approaches

Lysosomes in cell death - from molecular mechanisms to new treatment strategies

Biomedical text mining for systems biology

Grand Seminar - AI for Biodiversity and Climate Research

Artificial intelligence approaches for mapping the nexus of biodiversity, climate change and human society

Natural and Artificial Cognition IV

Natural language processing in medicine, life and environmental science

The Use of ChatGPT, other chatbots and scientific text mining for researchers

An annotated high-content fluorescence microscopy dataset with EGFP-Galectin-3-stained cells and manually labelled outlines

An annotated high-content fluorescence microscopy dataset with Hoechst 33342-stained nuclei and manually labelled outlines

OpenChart-SE: A corpus of artificial Swedish electronic health records for imagined emergency care patients written by physicians in a crowd-sourcing project

Files and code for English dictionaries, gold and silver standard corpora for biomedical natural language processing related to SARS-CoV-2 and COVID-19

Sonja Aits

Personal profile

Research

Subject classification (UKÄ)

Free keywords

Expertise related to UN Sustainable Development Goals

Fingerprint

Collaborations the last five years

Research output

Projects

Activities

Datasets