❭ 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

Asp E, Rietdijk J, Tampere M, Axelsson H, Njenda D, Potdar S, Kalman A, Georgieva P, Lapins M, Ballante F, Soler A, de Kort M, Aittokallio T, Zaliani A, Kuzikov M, Gribbon P, Lo D, Carreras-Puigvert J, Seashore-Ludlow B, Spjuth O, Östling P (2026)
A host-centric morphological profiling approach to identify repurposed antiviral drugs
iScience, 29 (8), 116673
DOI 10.1016/j.isci.2026.116673, PubMed 42472122

Anttila JM, Savelius M, Id L, Nicorici D, Somani J, Hiltunen AO, Munne PM, Peura A, Peltonen M, Aung J, Awadhpersad R, Nyhamar E, Prajapati B, Ala-Hongisto H, Gautam P, Välimäki MJ, Tervonen TA, Šapovalovaitė K, Devarajan R, Ruiz Pérez MV, Mutka M, Kovanen P, Niinikoski L, Meretoja T, Mattson J et al. (2026)
Complex I drives glutamine-dependent TCA cycle to support viability of MYChigh breast cancer cells
Cell Rep, 45 (7), 117629
DOI 10.1016/j.celrep.2026.117629, PubMed 42397738

Huusari R, Wang T, Szedmak S, Aittokallio T, Rousu J (2025)
Predicting drug combination response surfaces
NPJ Drug Discov, 2 (1)
DOI 10.1038/s44386-024-00004-z, PubMed 42380598

More publications

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