Laura Elo
laura.elo@utu.fi +358 29 450 2090 +358 50 468 0795 Tykistökatu 6 Turku ORCID-tunniste: https://orcid.org/0000-0001-5648-4532 |
Computational biomedicine, medical bioinformatics, data science, machine learning, artificial intelligence, biomarkers, computational systems immunology
Laura Elo is Professor of Computational Medicine and Head of Medical Bioinformatics Centre at University of Turku, Finland. She received PhD in Applied Mathematics in 2007 and became Adjunct Professor in Biomathematics in 2011. After postdoctoral research in molecular immunology and computational systems biology, she received JDRF Career Development Award from US and established herself as independent group leader. In 2014 she became Research Director and in 2016 Vice Director of Turku Bioscience. She has published >180 research articles and >20 software packages and led several research projects (e.g. ERC).
We develop computational methods and models for transforming large-scale molecular and clinical datasets to biomedical knowledge. A specific focus is on analyzing and interpreting data generated by modern high-throughput biotechnologies and other digital health data in a robust and reproducible manner. Using statistical modelling and advanced machine learning techniques, we have, for instance, identified early markers for type 1 diabetes and developed several powerful computational models for predicting disease and treatment risks. The ultimate goal is to improve the diagnosis, prognosis and treatment of complex diseases in close collaboration with experimental and clinical research groups. In our ongoing studies, we focus on development of robust computational tools for proteome, epigenome, and multi-modal single-cell data analysis; artificial intelligence in the analysis of digital health data for early prediction of disease and treatment risks; and computational systems immunology to study human T cell development and immune-mediated diseases. For more information, visit our website: https://elolab.utu.fi
Modern Biotechnologies and Bioinformatics; Bioinformatics in Drug Discovery; Systems biology; AI in Diagnostics, Drug Discovery and Imaging; Bioinformatics Journal Club
Training of MSc and PhD students and postdoctoral fellows
- Complete Data Analysis Workflow for Quantitative DIA Mass Spectrometry Using NextflowTestosterone Exposure During Fetal Masculinization Programming Window Determines the Kidney Size in Adult MiceProteomic profiling reveals alterations in metabolic and cellular pathways in severe obesity and following metabolic bariatric surgery (2026)
- Journal of Proteome ResearchObesityClinical Immunology
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - (2026)
- FASEB JournalRheumatology
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - (2025)
- Computers in Biology and MedicineiScience
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - A Metabolite-Based Resistance Mechanism Against Malaria (2025)
- Science
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - CellRomeR: an R package for clustering cell migration phenotypes from microscopy data (2025)
- Bioinformatics Advances
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Characterization of Visceral Adipose Tissue Proteome Reveals Metabolic Changes and Inflammatory Signatures in Severe ObesityLINC01871 is exclusively expressed in T and NK cells and is highly induced upon CD4+ T cell activation (2025)
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Coralysis enables sensitive identification of imbalanced cell types and states in single-cell data via multi-level integrationLongitudinal pathway analysis using structural information with case studies in early type 1 diabetes (2025)
- Nucleic Acids ResearchGenome MedicineFASEB Journal
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - (2025)
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - (2025)
- Scientific Reports
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Metaproteomics Beyond Databases: Addressing the Challenges and Potentials of De Novo Sequencing (2025)
- ProteomicsImmunology and Cell Biology
(A2 Vertaisarvioitu katsausartikkeli tieteellisessä lehdessä) - (2025)
- American Journal of Physiology : Endocrinology and MetabolismEuropean Urology Open Science
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Single-cell RNA-seq analysis of longitudinal CD4+ T cell samples reveals cell-type-specific changes during early stages of type 1 diabetesTargeted serum proteomics of longitudinal samples from newly diagnosed youth with type 1 diabetes affirms markers of disease (2025)
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Sketching T cell atlases in the single‐cell era: challenges and recommendationsDeep Learning Enables Automatic Detection of Joint Damage Progression in Rheumatoid Arthritis-Model Development and External Validation (2025)
(A2 Vertaisarvioitu katsausartikkeli tieteellisessä lehdessä) - (2025)
- Diabetologia
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - A proximal enhancer regulates RORA expression during early human Th17 cell differentiation (2024)
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Distinct cellular immune responses in children en route to type 1 diabetes with different first-appearing autoantibodies (2024)
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Disruption of HSD17B12 in mouse hepatocytes leads to reduced body weight and defect in the lipid droplet expansion associated with microvesicular steatosis (2024)
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - (2024)
- (2024)
- Nature Communications
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - ECCB2024: The 23rd European Conference on Computational Biology (2024)
- Bioinformatics
(B1 Vertaisarvioimaton kirjoitus tieteellisessä lehdessä )



