福利姬

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The aims of our research are to uncover the cellular and molecular mechanisms that predispose to systemic and long-term anti-tumor immunity and the mechanisms that drive resistance to immunotherapy.

Mathematical Oncology is an interdisciplinary collaboration to develop direct and inverse mathematical models for brain cancer growth, making use of AI for applications in healthcare.

Many pediatric cancer care survivors develop serious cardiovascular complications later in life. The emerging field of computational cardio-oncology leverages advanced data methods to better predict and prevent these complications.

Cancer is a research network for scientists and health care professionals at 福利姬 and at the County Council of Östergötland (Region Östergötland). The research is related to cancer diagnosis, pathogenesis and treatment.

Researchers at LiU share SEK 12 million for new projects to improve treatment and quality of life for cancer patients. One of them is Henrik Green, who studies how genetic differences between patients can affect how they react to cancer treatment.

Linda Bojmar has played a significant role in a groundbreaking study recently published in Nature. The study sheds new light on how cancers in distant organs can profoundly impact liver function, providing crucial insights for cancer treatment.

A study, led by researchers at LiU and Region Östergötland, shows that cancer survivors are at greater risk for cardiovascular diseases, other cancers and other diagnoses later in life.

When low doses of cancer drugs are administered continuously near malignant brain tumours using so-called iontronic technology, cancer cell growth drastically decreases. This is demonstrated in experiments with bird embryos.

A certain gene that is passive can cause leucemia or other cancer. But activated, it can increase the response of treatments that are already today in practice.