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

Project overview

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

Schmidt N, Kornrumpf K, Ries L, Markus K, Ksionsko N, Mazzeo P, Lohrberg M, Sitte M, Salinas-Riester G, Braun T, Dechow A, Herling M, Ianevski A, Aittokallio T, Chapuy B, Bastians H, Wulf GG, Beißbarth T, Dönitz J, Koch R (2025)
Discovery of molecularly-informed therapeutic strategies for mature T-cell leukemias and lymphomas
Blood Adv (in press)
DOI 10.1182/bloodadvances.2024015167, PubMed 40758950

Hermansen JU, Athanasiadis P, Yin Y, Rise AF, Arribas AJ, Cascione L, Russnes HG, Helland Å, Mato AR, Bertoni F, Tjønnfjord GE, Aittokallio T, Skånland SS (2025)
Proteasome inhibition overcomes resistance to targeted therapies in B-cell malignancy models and in an index patient
Cell Death Dis, 16 (1), 555
DOI 10.1038/s41419-025-07884-7, PubMed 40701968

Chen Y, He L, Ianevski A, Nader K, Ruokoranta T, Linnavirta N, Miettinen JJ, Vähä-Koskela M, Vänttinen I, Kuusanmäki H, Kontro M, Porkka K, Wennerberg K, Heckman CA, Giri AK, Aittokallio T (2025)
A Machine Learning-Based Strategy Predicts Selective and Synergistic Drug Combinations for Relapsed Acute Myeloid Leukemia
Cancer Res, 85 (14), 2753-2768
DOI 10.1158/0008-5472.CAN-24-3840, PubMed 40354625

More publications

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