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2021

2020

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Henrik Green and Niclas Björn in the lab.

Predicting the risk of severe side effects of cancer treatment

Some patients experience life-threatening side effects during cancer treatment. Researchers at LiU have developed a model that can predict which patients have a high probability of side effects.

illustration of dna, code and human

Artificial intelligence finds disease-related genes

An artificial neural network can reveal patterns in huge amounts of gene expression data, and discover groups of disease-related genes. The scientists hope that the method can eventually be applied within precision medicine.

Predicting the severity of multiple sclerosis

Cells in the immune system of patients with multiple sclerosis behave differently from those of healthy individuals. LiU researchers have exploited this difference to develop a method that can predict disease activity in multiple sclerosis. 

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Henrik Green and Niclas Björn in the lab.

Predicting the risk of severe side effects of cancer treatment

Some patients experience life-threatening side effects during cancer treatment. Researchers at LiU have developed a model that can predict which patients have a high probability of side effects.

illustration of dna, code and human

Artificial intelligence finds disease-related genes

An artificial neural network can reveal patterns in huge amounts of gene expression data, and discover groups of disease-related genes. The scientists hope that the method can eventually be applied within precision medicine.

Predicting the severity of multiple sclerosis

Cells in the immune system of patients with multiple sclerosis behave differently from those of healthy individuals. LiU researchers have exploited this difference to develop a method that can predict disease activity in multiple sclerosis. 

PublicationsShow/Hide content

2021

2020

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