Laura Elo
laura.elo@utu.fi +358 29 450 2090 +358 50 468 0795 Tykistökatu 6 Turku |
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
- Reproducibility-optimized detection of differential DNA methylation (2020)
- Epigenomics
- Transcriptomic responses to hypoxia in endometrial and decidual stromal cells (2020)
- Reproduction
- A Data Analysis Protocol for Quantitative Data-Independent Acquisition Proteomics. (2019)
- Methods in Molecular Biology
- Adverse Events During Neoadjuvant Chemotherapy for Muscle Invasive Bladder Cancer (2019)
- Bladder Cancer
- An unbiased in vitro screen for activating epidermal growth factor receptor mutations (2019)
- Journal of Biological Chemistry
- A predictive model of overall survival in patients with metastatic castration-resistant prostate cancer (2019)
- F1000Research
- Chronic nonbacterial prostate inflammation in a rat model is associated with changes of gut microbiota that can be modified with a galactoglucomannan-rich hemicellulose extract in the diet (2019)
- BJU International
- Decidualization of Human Endometrial Stromal Fibroblasts is a Multiphasic Process Involving Distinct Transcriptional Programs (2019)
- Reproductive Sciences
- Gut microbiota composition is associated with temperament traits in infants (2019)
- Brain, Behavior, and Immunity
- Hypoxia-inducible factor (HIF)-prolyl hydroxylase 3 (PHD3) maintains high HIF2A mRNA levels in clear cell renal cell carcinoma (2019)
- Journal of Biological Chemistry
- L1TD1 - a prognostic marker for colon cancer (2019)
- BMC Cancer
- Lack of androgen receptor SUMOylation results in male infertility due to epididymal dysfunction (2019)
- Nature Communications
- Peripheral blood DNA methylation differences in twin pairs discordant for Alzheimer's disease (2019)
- Clinical Epigenetics
- Prediction of complication related death after radical cystectomy for bladder cancer with machine learning methodology (2019)
- Scandinavian Journal of Urology
- Quantitative Proteomics Reveals the Dynamic Protein Landscape during Initiation of Human Th17 Cell Polarization (2019)
- iScience
- RepViz: A replicate-driven R tool for visualizing genomic regions (2019)
- BMC Research Notes
- Systematic evaluation of differential splicing tools for RNA-seq studies (2019)
- Briefings in Bioinformatics
- The Transcription Factor MAZR/PATZ1 Regulates the Development of FOXP3(+) Regulatory T Cells (2019)
- Cell Reports
- A comprehensive evaluation of popular proteomics software workflows for label-free proteome quantification and imputation (2018)
- Briefings in Bioinformatics
- A crowdsourced analysis to identify ab initio molecular signatures predictive of susceptibility to viral infection (2018)
- Nature Communications