Scholar
Tero Aittokallio
Google Scholar ID: jxo3FisAAAAJ
University of Helsinki, University of Turku, University of Oslo
Citations & Impact
Citations
13,837
H-index
57
i10-index
161
Publications
20
Co-authors
0
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- Published papers include 'Tutorial on survival modeling with applications to omics data' (Bioinformatics, 2024), 'Robust scoring of selective drug responses for patient-tailored therapy selection' (Nat Protoc, 2024), etc.
Research Experience
- Group leader in Computational Systems Medicine; research projects involve 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, etc.
Background
- Research interests include integrating multi-omics profiling and clinical information from cancer patients using mathematical and statistical approaches such as machine learning and network modeling. The goal is to optimize treatment outcomes for individual patients using maximally predictive models and minimal biomarker signatures, enabling real-time and cost-effective routine diagnostics and prognosis.
Miscellany
- Funded by several organizations; developed Nextpie: a web-based reporting tool and database for reproducible Nextflow pipelines.
Co-authors