❭ Research by medical division ❭ Cancer Medicine ❭ Institute for Cancer Research ❭ Dept. of Cancer Genetics ❭ Computational Systems Medicine [Aittokallio] ❭ Projects

Project overview

ImmuneT-ME: Interrogation of the immune-microenvironment of T-cell malignancies
Artificial Intelligence (AI) and Data Integration to define new macrophage/immune targets
Identification and characterization of drug resistant cell lineages with DNA barcoding
Multi-omics prediction of treatment outcomes for precision oncology applications
PANCAIM: Pancreatic cancer AI for genomics and personalized medicine
Decision support systems for real-time patient monitoring and treatment optimization
 
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Home Dept. of Cancer Genetics Computational Systems Medicine [Aittokallio]

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Recent publications

López A, Zobolas J, Dumontier T, Aittokallio T (2026)
Multi-modal learning with incomplete data
Nat Commun, 17 (1)
DOI 10.1038/s41467-026-77212-w, PubMed 42811071

Viitala EW, Salminen E, Miihkinen M, Lemmetyinen TT, Sévigny M, Porvari KK, Malpani T, Chalkidi N, Stavropoulou A, Päivinen PJ, Kaprio T, Hagström J, Haglund C, Mäkelä TP, Katajisto P, Aittokallio T, Koliaraki V, Ollila S (2026)
An integrated spatially defined roadmap of normal and cancer-associated colon fibroblasts
Mol Syst Biol (in press)
DOI 10.1038/s44320-026-00247-0, PubMed 42778665

Hermansen JU, Kong W, Brodersen AM, Yin Y, Urban A, Rein ID, He L, Agius R, Teglgaard RS, Rousu J, Brieghel C, Kersting S, Levin MD, Tran HTT, Mattsson M, Ranti J, Veldhuis GJ, da Cunha-Bang C, Mous R, Dubois J, Kater AP, Enserink JM, Niemann CU, Aittokallio T, Skånland SS (2026)
A functional prognostic model predicts progression-free survival in patients with relapsed chronic lymphocytic leukemia treated with ibrutinib + venetoclax
Hemasphere, 10 (9), e70467
DOI 10.1002/hem3.70467, PubMed 42757031

 

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