TA
Tero Aittokallio
University of Oslo, Oslo University Hospital, University of Helsinki
Research areas: Biochemistry, Genetics and Molecular Biology · Molecular Biology · Computational Drug Discovery Methods · Acute Myeloid Leukemia Research · Bioinformatics and Genomic Networks
Employment
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University of Oslo Professor2019 - Present
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Oslo University Hospital Group Leader2019 - Present
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University of Helsinki FIMM-EMBL Group Leader2011 - Present
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (443)
- Paired activity learning supports systematic identification of mutant-selective EGFR inhibitors Save
- Estimating the completeness of large-scale single-cell sequencing projects Save
- An integrated spatially defined roadmap of normal and cancer-associated colon fibroblasts Save
- A functional prognostic model predicts progression-free survival in patients with relapsed chronic lymphocytic leukemia treated with ibrutinib plus venetoclax Save
- Biomarker discovery and patient stratification in pancreatic cancer using incomplete multi-omics data Save
- Multi-modal learning with incomplete data Save
- A host-centric morphological profiling approach to identify repurposed antiviral drugs Save
- Complex I drives glutamine-dependent TCA cycle to support viability of MYChigh breast cancer cells Save
- Standardized workflow enables reproducibility of drug synergism detection Save
- Selective scoring of drug effects in multicellular co-culture systems Save
- A multi-center study on the consistency of drug sensitivity testing in patients with acute myeloid leukemia Save
- Improving reproducibility in pharmacogenomic screens through cross-study benchmarking Save
- Preclinical models of hepatosplenic γδ T-cell lymphoma with an activating STAT5B mutation display sensitivity to JAK inhibitor upadacitinib Save
- Prognostic biomarker discovery in pancreatic cancer through hybrid ensemble feature selection and multi-omics data Save
- NFATC2 in pancreatic cancer-associated fibroblasts predicts treatment response and facilitates ERBB-targeted therapies Save
- A standardized pan-cancer framework for spatial profiling of the tumor microenvironment using multiplex immunofluorescence. Save
- Discovery of predictive biomarkers for cancer therapy through computational approaches Save
- Multiomics Profiling of T-cell Leukemia and Lymphoma Enables Targeted Therapeutic Discovery Save
- Improved analysis of in vivo drug combination experiments with a comprehensive statistical framework and web-tool Save
- Path-based quantification of activation and repression in Boolean models using BooLEVARD Save