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2020

Danuta Gawel, Jordi Serra I Musach, Sandra Lilja, Jesper Aagesen, Alex Arenas, Bengt Asking, Malin Bengner, Janne Bjorkander, Sophie Biggs, Jan Ernerudh, Henrik Hjortswang, Jan-Erik Karlsson, Mattias Köpsen, Eun Jung Jung Lee, Antonio Lentini, Xinxiu Li, Mattias Magnusson, David Martinez, Andreas Matussek, Colm Nestor, Samuel Schäfer, Oliver Seifert, Ceylan Sonmez, Henrik Stjernman, Andreas Tjärnberg, Simon Wu, Karin Åkesson, Alex K. Shalek, Margaretha Stenmarker, Huan Zhang, Mika Gustafsson, Mikael Benson (2020) Correction: A validated single-cell-based strategy to identify diagnostic and therapeutic targets in complex diseases (vol 11, 47, 2019) Genome Medicine , Vol. 12 Continue to DOI

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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.

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. 

Related newsShow/Hide content

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.

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

2020

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