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
- Proteomics screening after pediatric allogenic hematopoietic stem cell transplantation reveals an association between increased expression of inhibitory receptor FCRL6 on γδ T cells and cytomegalovirus reactivation (2024)
- Immunology and Cell Biology
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - RUNX transcription factors are essential in maintaining epididymal epithelial differentiation (2024)
- Cellular and Molecular Life Sciences
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Serum Hydroxysteroid (17beta) dehydrogenase 1 concentration in pregnant women correlates with pregnancy-associated plasma protein a but does not serve as an independent marker for preeclampsia (2024)
- Biology of Reproduction
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Serum proteomics of mother-infant dyads carrying HLA-conferred type 1 diabetes risk (2024)
- iScience
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - A novel easy-to-use index to predict institutionalization and death in older population - a 10-year population-based follow-up study (2023)
- BMC Geriatrics
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Cell-connectivity-guided trajectory inference from single-cell data (2023)
- Bioinformatics
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Development and validation of a weight-loss predictor to assist weight loss management (2023)
- Scientific Reports
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Development of prediction model for alanine transaminase elevations during the first 6 months of conventional synthetic DMARD treatment (2023)
- Scientific Reports
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Gene expression signature predicts rate of type 1 diabetes progression (2023)
- EBioMedicine
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - PIM kinases regulate early human Th17 cell differentiation (2023)
- Cell Reports
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Polymorphism in interferon alpha/beta receptor contributes to glucocorticoid response and outcome of ARDS and COVID-19 (2023)
- Critical Care
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Profiling of peripheral blood B-cell transcriptome in children who developed coeliac disease in a prospective study (2023)
- Heliyon
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Risk factors for revision due to prosthetic joint infection following total knee arthroplasty based on 62,087 knees in the Finnish Arthroplasty Register from 2014 to 2020 (2023)
- Acta Orthopaedica
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Targeted serum proteomics of longitudinal samples from newly diagnosed youth with type 1 diabetes distinguishes markers of disease and C-peptide trajectory (2023)
- Diabetologia
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - VarSCAT: A computational tool for sequence context annotations of genomic variants (2023)
- PLoS Computational Biology
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - An Infancy-Onset 20-Year Dietary Counselling Intervention and Gut Microbiota Composition in Adulthood (2022)
- Nutrients
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - An Unbiased Functional Genetics Screen Identifies Rare Activating ERBB4 Mutations (2022)
- Cancer Research Communications
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - A systematic comparison of FOSL1, FOSL2 and BATF-mediated transcriptional regulation during early human Th17 differentiation (2022)
- Nucleic Acids Research
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Benchmarking methods for detecting differential states between conditions from multi-subject single-cell RNA-seq data (2022)
- Briefings in Bioinformatics
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Benchmarking tools for detecting longitudinal differential expression in proteomics data allows establishing a robust reproducibility optimization regression approach (2022)
- Nature Communications
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )