Researcher Nikita Shvetsov has developed an AI system that can contribute to less costly examinations and more personalised cancer treatment.
Researchers have developed an artificial intelligence to map specific immune cells in lung cancer tumors. It can lead to less costly examinations and more personalised cancer treatment (English news story on sciencenorway.no).
Researchers have developed an artificial intelligence to map specific immune cells in lung cancer tumors. It can lead to less costly examinations and more personalised cancer treatment (English news story on sciencenorway.no).
By Petter Bjørklund, Communications Advisor at SFI Visual Intelligence
Lung cancer is one of the most widespread and deadly types of cancer in the world. In 2023, 3,319 Norwegians were diagnosed with lung cancer.
When the immune system detects cancer inside the lungs, it responds by sending out a group of immune cells. They attack the malignant cells in the tumour.
These immune cells are called tumour-infiltrating lymphocytes (TIL). They are an integral part of the body's battle against lung cancer. TIL cells can reveal how the cancer will develop. They can also indicate which treatment will work best.
Because of this, doctors examine tissue samples from the lungs under a microscrope. They map the TIL cells inside the tumour. The more cells they find, the better the prognosis.
The problem is that these examinations are very costly and time-consuming. The amount of TIL cells in the tissue samples may also be interpreted differently from doctor to doctor.
Researchers have now developed artificial intelligence (AI) that can make this task simpler. The technology can provide several benefits for the healthcare system – from less costly examinations to faster and more personalised cancer treatment.
“We sought to examine how machine learning can simplify this task. Now we know that it works pretty well,” says researcher Nikita Shvetsov at UiT The Arctic University of Norway. There, he participates in a Machine Learning Group and the AI centre SFI Visual Intelligence.
His research was recently published in Journal of Pathology Informatics.
Read the entire news story in English or Norwegian:
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Harald Lykke Joakimsen, a PhD Candidate at Visual Intelligence's hub in Tromsø, will compete in Forsker Grand Prix: Norway's national popular science competition.
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Congratulations to Centre Director Robert Jenssen, who was appointed as a new fellow of the International Associaton for Pattern Recognition (IAPR).
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Why should we think twice before using AI as a therapist, romantic partner, or to help with homework? AI expert Elisabeth Wetzer explains.
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Visual Intelligence gathered experts from Norwegian politics, research council, industry, the public sector, and academia to discuss the value of Norwegian AI competence and Norwegian-developed models.
Visual Intelligence researchers are attending two AI-oriented events at Arendalsuka 2026: Norway's largest annual political festival.
Visual Intelligence hosted over 45 international AI researchers for the DL2026 workshop at UiT The Arctic University of Norway.
Visual Intelligence will be well represented at MICCAI 2026, one of the leading AI conferences on medical imaging and computer assisted intervention, with two accepted research papers.
Visual Intelligence co-organized and attended the "Foundations of Arctic AI and Generative Forecasting": an inaugural workshop in the P1 Arctic AI program.
PhD Candidates Solveig Thrun and Christian Salomonsen attended the Datacloud Global Congress' Talent in Tech programme, which invited emerging talent to a unique programme designed to inspire, educate, and connect young professionals with senior leaders from global tech giants.
We warmly welcome Georgios Leontidis as a new Professor at SFI Visual Intelligence's hub at UiT The Arctic University of Norway.
Centre Director Robert Jenssen was interviewed by Norsk rikskringkasting (NRK) about the Japan-Norway AI Innovation Forum in Tokyo, Japan.
En ny AI-løsning utviklet ved UiT kan gjøre det enklere å avdekke feilrapportering og ulovlig fiske. Nå skal Norges Råfisklag teste teknologien i praktisk bruk (News article on kystogfjord.no)
Principal Investigator Kristoffer Wickstrøm was interviewed by Norsk rikskringkasting (NRK) about the Artificial Intelligence Day at UiT- The Arctic University of Norway.
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En ny, åpent tilgjengelig KI-modell kan endre hvordan geologer tolker seismikk. Den norske grunnmodellen lover raskere analyser, lavere terskel for innovasjon og nye måter å forstå undergrunnen på.