Laura Elo
laura.elo@utu.fi +358 29 450 2090 +358 50 468 0795 Tykistökatu 6 Turku ORCID identifier: 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 >150 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
- 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
(Refereed journal article or data article (A1)) - Cell-connectivity-guided trajectory inference from single-cell data (2023)
- Bioinformatics
(Refereed journal article or data article (A1)) - Development and validation of a weight-loss predictor to assist weight loss management (2023)
- Scientific Reports
(Refereed journal article or data article (A1)) - Development of prediction model for alanine transaminase elevations during the first 6 months of conventional synthetic DMARD treatment (2023)
- Scientific Reports
(Refereed journal article or data article (A1)) - Gene expression signature predicts rate of type 1 diabetes progression (2023)
- EBioMedicine
(Refereed journal article or data article (A1)) - PIM kinases regulate early human Th17 cell differentiation (2023)
- Cell Reports
(Refereed journal article or data article (A1)) - Polymorphism in interferon alpha/beta receptor contributes to glucocorticoid response and outcome of ARDS and COVID-19 (2023)
- Critical Care
(Refereed journal article or data article (A1)) - Profiling of peripheral blood B-cell transcriptome in children who developed coeliac disease in a prospective study (2023)
- Heliyon
(Refereed journal article or data article (A1)) - 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
(Refereed journal article or data article (A1)) - Targeted serum proteomics of longitudinal samples from newly diagnosed youth with type 1 diabetes distinguishes markers of disease and C-peptide trajectory (2023)
- Diabetologia
(Refereed journal article or data article (A1)) - VarSCAT: A computational tool for sequence context annotations of genomic variants (2023)
- PLoS Computational Biology
(Refereed journal article or data article (A1)) - An Infancy-Onset 20-Year Dietary Counselling Intervention and Gut Microbiota Composition in Adulthood (2022)
- Nutrients
(Refereed journal article or data article (A1)) - An Unbiased Functional Genetics Screen Identifies Rare Activating ERBB4 Mutations (2022)
- Cancer Research Communications
(Refereed journal article or data article (A1)) - A systematic comparison of FOSL1, FOSL2 and BATF-mediated transcriptional regulation during early human Th17 differentiation (2022)
- Nucleic Acids Research
(Refereed journal article or data article (A1)) - Benchmarking methods for detecting differential states between conditions from multi-subject single-cell RNA-seq data (2022)
- Briefings in Bioinformatics
(Refereed journal article or data article (A1)) - Benchmarking tools for detecting longitudinal differential expression in proteomics data allows establishing a robust reproducibility optimization regression approach (2022)
- Nature Communications
(Refereed journal article or data article (A1)) - Cell type markers indicate distinct contributions of decidual stromal cells and natural killer cells in preeclampsia (2022)
- Reproduction
(Refereed journal article or data article (A1)) - Computational solutions for spatial transcriptomics (2022)
- Computational and Structural Biotechnology Journal
(Refereed review article in scientific journal (A2)) - COVID-19-specific transcriptomic signature detectable in blood across multiple cohorts (2022)
- Frontiers in Genetics
(Refereed journal article or data article (A1)) - Deep learning tools are top performers in long non-coding RNA prediction (2022)
- Briefings in Functional Genomics
(Refereed review article in scientific journal (A2))