Artificial intelligence applications in biomedical science
- Use of artificial intelligence-based approaches for text mining of medical texts
- Use of artificial intelligence-based approaches for biomedical image analysis
- Use of artificial intelligence-based approaches for protein function and structure prediction and modelling
- Use of artificial intelligence-based approaches for integrating biomedical "big data" such as proteomics and genomics datasets
Understanding and therapeutic targeting of cell death and lysosomes
- Deciphering the molecular machinery of lysosome-dependent cell
death and its interactions with other cell death and survival processes
- Understanding the role of lysosome-dependent cell death in diseases with excessive cell death
- Understanding the connection between environmental toxins and lysosome-dependent cell death
- Therapeutic modulation of lysosome-dependent cell death and lysosome function, particularly for neurodegenerative diseases, lysosomal storage diseases, stroke and cancer
- Development of novel tools and methods for studying lysosome-dependent cell death and lysosome function
COVID-19
- Development of text mining tools for Swedish electronic health records
- Development of text mining tools for COVID-19 research literature
- Development of AI-based image analysis for COVID-19 research
Besides these core areas we are involved in other collaborative projects related to cell death, lysosomes and artificial intelligence and always open to new projects.
Our work is highly interdisciplinary and we combine
basic cell/molecular biology, clinical research, bioimaging,
structural biology and different forms of computational science
(e.g. bioinformatics, image analysis, big data analysis, artificial intelligence and
machine learning).