Researcher Nikita Shvetsov has developed an AI system that can contribute to less costly examinations and more personalised cancer treatment.
Image:
Petter Bjørklund, SFI Visual Intelligence

Researcher Nikita Shvetsov has developed an AI system that can contribute to less costly examinations and more personalised cancer treatment.

ScienceNorway: This is how AI can contribute to faster treatment of lung cancer

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).

ScienceNorway: This is how AI can contribute to faster treatment of lung cancer

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 goal is not to replace healthcare professionals with automated machines. Our aim is to make their lives a little easier,” says researcher Nikita Shvetsov. Photo: Petter Bjørklund, SFI Visual Intelligence.

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:

Sciencenorway.no (English text)

Forskning.no (Norwegian text)

Latest news

My Research Stay at Visual Intelligence: Teresa Dorszewski

June 5, 2025

Teresa Dorszewski is a PhD Candidate at the Section for Cognitive Systems at the Technical University of Denmark. She visited Visual Intelligence in Tromsø from January to April 2025.

Visual Intelligence represented at the NORA Annual Conference 2025

June 3, 2025

Centre Director Robert Jenssen was invited to give a keynote and participate in a panel discussion on AI as critical national infrastructure at the NORA Annual Conference 2025 in Halden, Norway.

NRK.no: Nekter å svare om umerkede puslespill er KI-generert: – De bør være ærlige

June 2, 2025

Både forskere og statsråd mener kunstig intelligens bør tydelig merkes. Men forlaget som lager puslespillet som ekspertene mener er KI-generert, sier de ikke har noe med hvordan illustratører lager produktene sine (Norwegian news article by NRK)

Now Hiring: 4 PhD Fellows in Deep Learning

May 28, 2025

The Department of Physics and Technology at UiT The Arctic University of Norway is pleased to announce 4 exciting PhD Fellowships within machine learning at SFI Visual Intelligence. Application deadline: June 17th.

VG: Slik kan AI revolusjonere lungekreftbehandling

May 19, 2025

Norsk forskning har utviklet kunstig intelligens som raskt kan analysere lungekreft. Ekspertene forklarer hvordan dette kan bidra til en mer effektiv og persontilpasset behandling (Norwegian news article in vg.no)

Visual Intelligence evaluated by international experts: "The centre operates at an excellent level"

April 29, 2025

After four years of operation, an international AI expert panel was appointed to assess Visual Intelligence's progress and results. The evaluation was characterized by its excellent remarks on the centre's scientific quality and innovation output.

Visual Intelligence at Norsk Radiografforbund's mammography symposium

April 24, 2025

Senior Researcher Fredrik Dahl recently gave a talk about Norsk Regnesentral's work on developing AI algorithms for automatic analysis of image quality and cancer detection at Norsk Radiografforbund's mammography symposium in Oslo.

Michael Kampffmeyer receives UiT's Young Researcher Award

April 4, 2025

Michael Kampffmeyer is one of UiT's youngest professors and has already distinguished himself through his contributions to AI research. He has now won UiT's award for young researchers at the university's annual celebration.

Visual Intelligence Annual Report 2024

April 2, 2025

The fifth Visual Intelligence annual report, showcasing the centre's activities, results, staff, funding and publications for 2024, is now available on our web pages.

uit.no: UiT er vertskap for landsdekkende KI-konferanse

April 1, 2025

I juni møtes det norske KI-miljøet i Tromsø for å presentere ny forskning og diskutere nye retninger innen feltet. KI-forskere inviteres til å delta og vise fram forskningen sin under konferansen.

Successful Industry Pitch Day at UiT

March 20, 2025

Visual Intelligence and the Digital Innovation Lab invited industry professionals to present ideas for master's projects to computer science and machine learning students at UiT The Arctic University of Norway.

Dagens Næringsliv: Norges eldste fagmiljø innen KI

March 18, 2025

Kunstig intelligens (KI) endrer måten vi løser komplekse problemer på. Ved UiT Norges arktiske universitet leder professor Robert Jenssen Visual Intelligence, et senter for forskningsdrevet innovasjon som utvikler neste generasjons KI-metoder.