AI in Environmental Science

Application of AI in Biological Sciences at UiS.

Published 13. May. 2025. Updated on 13. May. 2025

Researchers in biology are increasingly integrating AI into their work to enhance data analysis, pattern recognition, and environmental monitoring. Through collaboration with the Stavanger AI Lab, biologists are applying AI-driven tools in fields such as digital histopathology, ecotoxicology, and climate impact assessment.

One key area of development is the use of machine learning models for automated identification of tissue lesions in fish, supporting faster and more objective environmental health assessments. These models enable researchers to process large image datasets efficiently, uncover subtle biological responses to pollution, and link histological markers to environmental stressors under changing climate conditions.

This interdisciplinary approach demonstrates UiS' strong commitment to advancing AI applications in the natural sciences and aligns with national and European research priorities for smart, sustainable environmental management.

Communication at international conferences

14th SETAC (Society of Environmental Toxicology and Chemistry) Asia-Pacific.
Pampanin D.M., Tanabe P., Liboureau P., Schlenk D., Riccardi E., Forsgren K. Automated Analysis of Histological Lesions in Whole Slide Images of Fish Liver., Tianjin, China (September 21-25, 2024)
International Symposium on Toxicity Assessment (ISTA 21)

Pampanin D.M., Tanabe P., Liboureau P., Schlenk D., Riccardi E., Forsgren K. Automated Analysis of Histological Lesions in Whole Slide Images of Fish Liver. I, Fukuoka, Japan (August 25-30, 2024).
20º Congresso Brasileiro de Bioinformática: X-Meeting

Cheohen C., Nahrgang J., Leal da Silva M., Pampanin D.M. Effects of dispersed crude oil on the gut microbiome and metatranscriptome of Polar Cod (Boreogadus saida): Molecular Responses to Environmental Pollutants., Salvador, Bahia, Brazil (June 11-14, 2024).

International Symposium on Pollution Responses in Marine Organisms, PRIMO 22
Tanabe P., Schlenk D., Forsgren K., Pampanin D.M. Automated detection and quantification of histological lesions in whole slide images of Atlantic cod livers. 22nd, Nantes, France (May 26-29, 2024).

33rd SETAC (Society of Environmental Toxicology and Chemistry) Europe
Pampanin D.M., Tanabe P., Szwedo A., Forsgren K., Lam S., Schlenk D. Whole Slide Imaging, Digitalization and Automation of Histopathological Lesion Evaluation in Marine Organisms for the Purpose of Environmental Monitoring., Dublin, Ireland (April 30- May 4, 2023).

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